#Jharkhand law enforcement technology

[townpostin]

Jamshedpur Mandates CCTV Installation Across Key Establishments

SDO Parul Singh issues directive for citywide surveillance; 60-day compliance period Jamshedpur to enhance security with mandatory CCTV installation at various establishments, as ordered by SDO Parul Singh. JAMSHEDPUR – SDO Parul Singh has issued a directive that mandates the implementation of CCTV in critical establishments throughout Jamshedpur in order to enhance the city’s security and…

[planindiango]

Lets Girls Be Born

Sex-selective elimination of female foetuses, often through the misuse of the very technology that was developed for the care of an unborn child, continues to be a problem.

Let Girls Be Born (LGBB) is an advocacy project through which Plan India, with the support of Plan International – Netherlands, works to end discrimination and fight female foeticide through effective implementation of the law. The project is currently active in Jharkhand, Rajasthan and Uttar Pradesh.

Innovations

Geo-tagged mapping of testing centres on a portal that strengthens Pre-Conception and Prenatal Diagnostic Techniques (PC & PNDT) cells through online tracking and compliance

Changes in Governance: Delegating Chief Medical Health Officer’s (CMHO) powers to the District Magistrate (DM) for effective enforcement of PC & PNDT Act and to prevent any probable collusion with the offenders

Plan India undertakes capacity building of Accredited Social Health Activists (ASHAs) who are trained at regional and block levels and then cascade their learning to peers and communities. These frontline workers (FLWs) coordinate, collaborate and consolidate efforts across the state to record and analyse data, identify and address gaps through grassroots level facilitation.

Plan also works with the state governments to showcase learning from other successful initiatives across India. Piloted in Rajasthan, the Mukhbir Yojana or Informant Scheme incentivises sharing of information on centres providing sex determination services or operating illegally. It is now also active in Uttar Pradesh and Jharkhand. LGBB also works with volunteers empanelled by the State Legal Services Authority from the National Legal Awareness Programme and trained paralegals to disseminate information through Lok Adalats. The programme works with the communities on behaviour change and helps create a dialogue on roles for girls in the socio-economic context.

Active engagement with Panchayati Raj Institutions (PRIs) has led to the display of ‘Guddi-Gudda’ boards within communities that present gender-segregated data. Effective tools for behaviour change, the boards drive ownership and spark reflection within communities over the issue of declining sex ratio. Peer educators and youth clubs have emerged as the backbone for community mobilisation and facilitation of on-ground actions. With work making rapid progress at both advocacy and grassroots levels, Plan is well on its way to ensure equality for girls’ right from their inception.

Highlights

Support to develop and manage the PC&PNDT portal in Jharkhand. Called ‘Garima Jharkhand’ the portal is being used to effectively monitor 938 registered ultrasound centres and genetic laboratories such as IVF centres.

1,632 girls enrolled for government’s flagship Sukanya Samiridhi Yojna with a total deposit of Rs 63,74,200 in the name of the girls by the parents.

848 girls enrolled for state-specific girl welfare schemes such as Mukhya Mantri Sukanya Yojna in Jharkhand, Rajshree Yojana in Rajasthan, and Kanya Sumangla Yojna in Uttar Pradesh.

99,650 community members reached with messaging on girls’ rights.

3000 students benefitted through the strengthening of Child Clubs and their libraries on gender equality in 15 schools of Jaipur.

Read More: https://www.planindia.org/get-involved/make-a-donation/because-i-am-a-girl-2/

[cybercrime-blogs]

Law Enforcement Gears Up: I4C Conducts Cryptocurrency and Investment Scam Training

In an effort to enhance the capabilities of law enforcement agencies and public prosecutors in addressing cryptocurrency-related frauds, the Indian Cyber Crime Coordination Centre (I4C), operating under the Ministry of Home Affairs (MHA), conducted an intensive one-day training session in Ranchi, Jharkhand on Tuesday.

Bolstering Defenses Against Financial Fraud

The surge in cryptocurrency and investment scams in recent years has presented substantial challenges to law enforcement agencies. Recognizing the imperative to empower the police force and public prosecutors with the requisite skills and knowledge to combat these dynamic forms of financial fraud, the I4C orchestrated this training initiative.

Also Read: Cybercrime in Nagpur - Cyber Blackmailer Couple Arrested in Pune for Extorting Money

The event drew a diverse assembly of law enforcement officers and public prosecutors, all eager to augment their proficiency in addressing cryptocurrency and investment frauds. The training prioritized imparting participants with the essential tools needed to effectively investigate, prosecute, and prevent these fraudulent activities.

In a dynamic one-day training session, participants engaged in a series of instructive and practical workshops. Facilitated by experts from the I4C, in collaboration with specialists in cryptocurrency and financial fraud, the training provided a platform for sharing insights and experiences. Here are some key takeaways from the session:

Cryptocurrency Insights:

Attendees received a thorough overview of cryptocurrency, including its technologies and operational mechanisms. This foundational knowledge is crucial for comprehending the methods employed in cryptocurrency-related scams.

Also Read: Kashmiri Brother-in-Law could not show Kamal, and pressure on Nagpur police failed

Detection of Investment Scams:

The training extensively covered the diverse array of investment scams prevalent in today's digital landscape. Officers were equipped with the skills to identify fraudulent schemes, enabling them to safeguard potential victims from falling prey to these deceptive traps.

Legal Procedures and Due Process:

An integral aspect of the training involved educating officers on the legal procedures essential for handling cryptocurrency and investment fraud cases. Emphasis was placed on the significance of adhering to due process, ensuring that perpetrators are brought to justice within the bounds of the law.

Application through Real-World Case Studies:

The participants had the opportunity to engage with real-world case studies, providing them with a practical outlet to apply their newly acquired knowledge. These case studies offered valuable insights into the intricacies of investigating and prosecuting financial fraud.

Also Read: Pune Couple's Organized Cyber Blackmailing Scandal Uncovered

This training not only empowered the frontline with essential knowledge but also equipped them with practical skills to navigate the complex landscape of cryptocurrency and financial fraud. As Ranchi takes strides towards a more secure digital environment, these trained officers stand as a resilient frontline against emerging threats.

In Ranchi, Jharkhand, a pivotal training program is underway as part of a comprehensive initiative led by the Indian Cyber Crime Coordination Centre (I4C) and the Ministry of Home Affairs. The overarching goal is to fortify the nation's cybersecurity infrastructure, equipping law enforcement officials with the tools needed to effectively combat the rising tide of cybercrimes, particularly those related to cryptocurrency and investment scams. These fraudulent activities have inflicted substantial financial losses on both individuals and organizations, prompting strategic measures to mitigate such risks.

Addressing the Growing Threats

Cryptocurrency and investment scams have emerged as formidable threats, draining millions of rupees from unsuspecting victims. Recognizing the urgency of the situation, the I4C and the Ministry of Home Affairs have initiated targeted training programs. These sessions aim to empower officers and prosecutors with the knowledge and skills required to confront the evolving challenges posed by financial fraud in the digital era.

A Nationwide Initiative

This training program in Ranchi is just the beginning. The I4C, in collaboration with the Ministry of Home Affairs and other law enforcement agencies, envisions a series of similar sessions across the country. The objective is clear: to ensure that law enforcement professionals nationwide are well-prepared and equipped to tackle the multifaceted threats posed by cryptocurrency and investment scams.

Also Read: Pune Couple's Organized Cyber Blackmailing Scandal Uncovered

Charting the Path Forward

As the battle against financial fraud intensifies, the I4C's commitment to educating and empowering frontline defenders of justice is poised to yield a substantial impact. Through these targeted training initiatives, law enforcement agencies aspire to construct a more resilient and secure environment for individuals and businesses navigating the complexities of the digital age.

In conclusion, Ranchi's training program serves as a testament to the proactive efforts being undertaken to fortify the nation's defenses against financial fraud. With a collective commitment to staying ahead of cybercriminals, these initiatives strive to create a landscape where individuals and businesses can thrive without falling victim to the perils of digital deception.

Source: https://www.the420.in/i4c-cryptocurrency-investment-scam-training-ranchi/

[thefirstindia]

Digital India & Cyber Crime

Digital India may have become a soft target for criminals as the country recorded a huge increase of 63.5 per cent in cybercrime cases in the year 2019, showed the National Crime Record Bureau data. The NCRB's data stated that 4,4546 cases of cybercrimes were registered in 2019 as compared to 28,248 in 2018.

According to Lucknow Newspaper Data from the National Crime Records Bureau (NCRB) has revealed that Uttar Pradesh accounted for the maximum number of economic offences in 2018. While the state recorded 22,822 cases of economic offences, Rajasthan was a close second with 21,309 such cases. The data showed in 60.4 per cent of cases, registered fraud was the motive followed by sexual exploitation (5.1%) and causing disrepute (4.2%).

The data comes at a time when India’s probe agencies – the Enforcement Directorate and the Central Bureau of Investigation – are investigating some crucial cases pertaining to economic offences, including the Rs14,356 crore Punjab National Bank scam, the INX Media case, as well as the ICICI Bank-Videocon Industries case.

The Information Technology Act- 2000, lays down the provisions regarding cybercrimes and the penalties there off. An amendment was made in 2008, with a special focus on Information Security. However, not all cybercrimes are covered under IT Act, with crimes related to forgery, threat, misappropriation etc have provisions under the Indian Penal Code (IPC).

Despite the tall claims by the Yogi Adityanath government in Uttar Pradesh on the improving law and order situation, the new age crime - ransomware - seems to be growing in the state. By Latest Today News in NCRB report, out of 1,218 cyberattacks involving ransomware, 1,136 took place in Uttar Pradesh. Notably, there is a 400% rise in such cases across the country as compared to the 2017 numbers. In 2017, there were just 300 such cases countrywide, though UP had still the highest 245 cases involving ransomware then. Ransomware is a type of malicious software designed to block access to a computer system until a sum of money is paid.

Even the states considered to be information technology hubs, like Karnataka and Andhra Pradesh, are nowhere close to UP. While Andhra Pradesh has zero such cases registered in 2018, Karnataka has seven. The only state that comes next to UP is Jharkhand with mere 51 cases. Nevertheless, Karnataka still tops the charts when it comes to non-ransomware cyberattacks.

According to Up News Live by a senior police officer in UP's cybercrime cell, "Computer illiteracy combined with negligence is the primary cause of ransomware attacks."

Good anti-virus software and not falling prey to attractive but unauthentic lucrative baits in the form of cash rewards are some of the safeguards. Besides, there are times when small firms or individuals attach their backup data to the internet by plugging devices into their systems. Such data is always vulnerable to ransomware. But considering the size of the state and its population, 1,136 is still a minuscule figure when compared to the way people throw caution to wind."

To know more click here: Lucknow Newspaper

[iasshikshalove]

Daily Current Affairs Dated On 12-July-2019

Daily Current Affairs Dated On 12-July-2019 GS-2 Iran Nuclear deal: Why in News? Iran on Monday began enriching its stockpile of uranium to 4.5% purity, breaching the terms of the 2015 nuclear deal that Washington abandoned last year. This comes days after Iran exceeded the 300-kg limit to its low-enriched uranium stockpile, breaching another cap set by the nuclear deal. Reasons:  These moves come as part of a series of aggressive actions by the U.S. and Iran.  It began last year when the U.S. unilaterally pulled out of the nuclear deal and reimposed sanctions that have hit the Iranian economy.  Iranian oil exports have fallen drastically and it has put its economy in a precarious situation.  Oil exports dropped from 2.5 million barrels per day (bpd) to about 300,000 bpd in the first three weeks of June after the U.S. withdrew the waivers it had granted to a few countries, including India, to import oil from Iran.  Iran has urged the remaining signatories of the deal to come up with an effective solution to help it circumvent U.S. sanctions.  It had earlier threatened to exceed 20% in enrichment of uranium if Europe had not made any progress by July 7.  Once 20% enrichment is reached, enriching it to weapon-grade levels of 90% is only a short step. Why did the deal fall apart?  Officially known as the Joint Comprehensive Plan of Action (JCPOA) it was signed by Iran, the five countries of the UNSC (the U.S., the U.K., France, China and Russia), Germany and the EU.  The Islamic Republic was suspected of developing nuclear weapons surreptitiously; a charge that it denied.  Under the deal, Iran agreed to limit its nuclear capabilities and, in return, international sanctions would be lifted. Daily Current Affairs Dated On 12-July-2019  As per the deal, Iran reduced the number of its centrifuges used for enriching uranium by two-thirds, restricted its uranium enrichment to 3.67%, and removed the core of its heavywater facility in Arak.  In May 2018, U.S. President Donald Trump pulled out of the deal stating it did not make an effort to curb Iran‟s “sponsoring of terrorism” abroad and its ballistic missiles programme. Did Europe try to save the deal?  Europe launched a new trade mechanism called Instrument in Support of Trade Exchanges (INSTEX) to continue trade with Iran in a non-dollar basis.  But INSTEX covers only humanitarian goods such as medicine, water, and food supplies, which are not affected by the sanctions anyway.  INSTEX does not help in trading oil, which is the lifeline of the Iranian economy.  Iran and other signatories met in Vienna on June 28 to work out a solution, but saw no breakthrough.  The European leaders declared INSTEX operational after the conference, but Iran opines that although it is a positive development, Europe can „do more‟.  Circumventing U.S. sanctions via an alternative trade mechanism is not very simple as it is the European companies and not the government that have to trade with Iran, in the face of U.S. antagonism. Poverty status in India: Context: India lifted 271 million people out of poverty between 2006 and 2016, recording the fastest reductions in the multidimensional poverty index values during the period with strong improvements in areas such as “assets, cooking fuel, sanitation and nutrition,” a report by the United Nations . Daily Current Affairs Dated On 12-July-2019 Salient observation of report:  The 2019 global Multidimensional Poverty Index (MPI) from the UN Development Programme (UNDP), the Oxford Poverty and Human Development Initiative (OPHI) was released on Thursday.  The report said that in the 101 countries studied — 31 low income, 68 middle income and 2 high income - 1.3 billion people are “multidimensionally poor”, which means that poverty is defined not simply by income, but by a number of indicators, including poor health, poor quality of work and the threat of violence.  The report identifies 10 countries, with a combined population of around 2 billion people, to illustrate the level of poverty reduction, and all of them have shown statistically significant progress towards achieving Sustainable Development Goal 1, namely ending poverty “in all its forms, everywhere”.  The 10 countries are Bangladesh, Cambodia, Democratic Republic of Congo, Ethiopia, Haiti, India, Nigeria, Pakistan, Peru and Vietnam.  The report said that within these 10 countries, data shows that 270 million people moved out of multidimensional poverty from one survey to the next. Global Scenario:  This progress was largely driven by South Asia. In India, there were 271 million fewer people in poverty in 2016 than in 2006, while in Bangladesh the number dropped by 19 million between 2004 and 2014,” it said.  The report noted that of the 10 selected countries for which changes over time were analysed, India and Cambodia reduced their MPI values the fastest — and they did not leave the poorest groups behind.  India‟s MPI value reduced from 0.283 in 2005-06 to 0.123 in 2015-16.  Noting the examples of pro-poor reduction, where the poorest regions improved the fastest, the report said that Jharkhand in India reduced the incidence of multidimensional poverty from 74.9% in 2005-06 to 46.5% in 2015-16.  Ethiopia, India and Peru significantly reduced deprivations in all 10 indicators, namely nutrition, sanitation, child mortality, drinking water, years of schooling, electricity, school attendance, housing, cooking fuel and assets. Status in India: Daily Current Affairs Dated On 12-July-2019  In 2005-2006, the population in India living in multidimensional poverty stood at about 640 million people (55.1%) and this reduced to 369 million people (27.9%) living in poverty in 2015-16.  India saw significant reductions in number of people who are multidimensionally poor and deprived in each of the 10 indicators over this time period.  India reduced deprivation in nutrition from 44.3% in 2005-06 to 21.2% in 2015-16, child mortality dropped from 4.5% to 2.2%, people deprived of cooking fuel reduced from 52.9% to 26.2%, deprivation in sanitation from 50.4% to 24.6%, those deprived of drinking water reduced from 16.6% to 6.2 %.  Further more people gained access to electricity as deprivation was reduced from 29.1% to 8.6%, housing from 44.9% to 23.6% and assets deprivation from 37.6% to 9.5%. Uneven poverty reduction:  The trends in these 10 countries also shine a light on where poverty reduction has been uneven, despite the good progress overall.  “In all 10 countries rural areas are poorer than urban areas.  In Cambodia, Haiti, India and Peru poverty reduction in rural areas outpaced that in urban areas — demonstrating pro-poor development — and in Bangladesh and Democratic Republic of the Congo poverty fell at the same speed in rural and urban areas, it added.  The report also showed that children suffer poverty more intensely than adults and are more likely to be deprived in all 10 of the MPI indicators, lacking essentials such as clean water, sanitation, adequate nutrition or primary education.  Child poverty fell markedly faster than adult poverty in Bangladesh, Cambodia, Haiti, India and Peru. Globally, of the 1.3 billion people who are multidimensionally poor, more than two-thirds of them—886 million— now live in middle-income countries. A further 440 million live in low-income countries. GS-3 Automated Facial Recognition System (AFRS): Daily Current Affairs Dated On 12-July-2019 What is it? The AFRS, being implemented by the National Crime Records Bureau (NCRB), is a component of Crime and Criminal Tracking Network and Systems (CCTNS), a national database of crimes and criminals. The data will only be accessible to law enforcement agencies. Concerns about Privacy:  The Automated Facial Recognition System (AFRS) would not violate privacy of citizens and is only being developed to help the law enforcement agencies to identify criminals, missing children and unidentified bodies in a scientific and speedy manner. Details:  The NCRB had last week invited bids for AFRS that would even “capture face images from CCTV feed and generate alerts if a blacklist match is found,” triggering privacy concern.  At present, there are 7.71 lakh cases of missing persons in the CCTNS database that includes 98,000 children.  “This software will be used only in respect of such persons who figure on the CCTNS data base -- accused persons, prisoners, missing persons and unidentified found persons including children, and unidentified dead persons -- and is not going to be used on any other data base  Just as fingerprint matching is used in investigation by the police by matching fingerprint found in crime scene with the fingerprint database, the AFRS will add another information layer to investigation by allowing matching photograph of suspect or missing person with the photo database of CCTNS. Helping against crime:  In case a person is suspected or arrested for crime during investigation, his photo can also be matched over the CCTNS data base for previous criminal records.  This will ensure that criminals and terrorists will no longer be able to hide behind fake identities. Daily Current Affairs Dated On 12-July-2019  Presently, police undertake manual search for matching photographs on CCTNS data base. Artificial Intelligence: Why in News? The Union Health Ministry is working towards using Artificial Intelligence (AI) in a safe and effective way in public health. Union Health Minister Harsh Vardhan said in Lok Sabha on July 12 that to address gaps in India‟s AI ecosystem and realise its economic impact, the central government has prioritised building AI technology capabilities. Potential in health sector:  The potential of AI in public health is being explored in our country. The Ministry of Health and Family Welfare (MoHFW) is working towards using AI in a safe and effective way in public health in India/  A few of the initiatives undertaken by the central government to use AI in public health are Imaging Biobank for cancer, for which the NITI Aayog with Department of Bio-Technology (DBT) aims to build a database of cancer-related radiology and pathology images of more than 20,000 profiles of cancer patients with focus on major cancers prevalent in India.  NITI Aayog is working on using AI for early detection of diabetic retinopathy.  NITI Aayog is currently in the process of developing institutional mechanism, funding framework and other such steps to realise India‟s AI aspirations.  NITI Aayog, after consultation with various ministries and leading academicians, institutions, practitioners and industry players, released India‟s National Strategy for Artificial Intelligence in June 2018. Ease of doing business: Why in News? Daily Current Affairs Dated On 12-July-2019 Union Finance Minister Nirmala Sitharaman, said the government will increase its focus on agriculture infrastructure. “Ease of doing business and ease of living should apply to farmers,” she said. In this regard, Ms. Sitharaman suggested that farmers take up zero-budget farming. “ What is zero-budget farming?  Zero-budget farming is a form of natural farming which is neither chemical-loaded nor organic with its reliance on manure.  It is a form of gardening as a self-sustainable practice with minimum external intervention.  This concept was first propagated 25 years ago by Subhash Palekar as a movement for farmers who were in debt due to the Green Revolution and is now being used by a large number of farmers across the country. Hayabusa: Why in News? Japan‟s Hayabusa2 probe made a “perfect” touchdown on Thursday on a distant asteroid, collecting samples from beneath the surface in an unprecedented mission that could shed light on the origins of the solar system. “We have never gathered sub-surface material from a celestial body further away than the moon,” he added. Details of Mission:  The brief landing on Thursday is the second time Hayabusa2 has touched down on the desolate asteroid Ryugu, some 300 million kilometres from Earth.  Ryugu, which means “Dragon Palace” in Japanese, refers to a castle at the bottom of the ocean in an ancient Japanese tale.  The complex multi-year Hayabusa2 mission has also involved sending rovers and robots down to the surface. Daily Current Affairs Dated On 12-July-2019  Thursday‟s touchdown was intended to collect pristine materials from beneath the surface of the asteroid that could provide insights into what the solar system was like at its birth, some 4.6 billion years ago.  To get at those crucial materials, in April an “impactor” was fired from Hayabusa2 towards Ryugu in a risky process that created a crater on the asteroid‟s surface and stirred up material that had not previously been exposed to the atmosphere.  Hayabusa2‟s first touchdown was in February, when it landed briefly on Ryugu and fired a bullet into the surface to puff up dust for collection, before blasting back to its holding position.  The touchdown is the last major part of Hayabusa2‟s mission, and when the probe returns to Earth next year to drop off its samples, scientists hope to learn more about the history of the solar system and even the origin of life on Earth. Background:  Hayabusa2 is the successor to JAXA‟s first asteroid explorer, Hayabusa — Japanese for falcon — that returned with dust samples from a smaller, potato-shaped asteroid in 2010.  It was hailed as a scientific triumph despite various setbacks during its epic seven-year odyssey.  The Hayabusa2 mission was launched in December 2014, and has a price tag of around $270 million.

[rosemaryvillag]

Govt to Begin Digital Village programme from 100 villages Shortly

Government will soon launch a new programme aimed at providing services such as education and health in villages with the support of technologies, Digital Village.

The programme could be rolled out from 100 villages originally and will be extended later, IT enforcement and law minister Ravi Shankar Prasad said on Monday.

“We will unleash another important initiative– Digital Village. As per my understanding, it will be a collector-driven initiative. We suggest to start using 100 villages and expand it afterwards,” Prasad said in the Digital India Prize occasion here.

A collector was said by him with the help concerned bodies may select a village to provide health, education as well as other digital world support via Wi-Fi connectivity.

The minister appealed officers in the event to combine in the digital initiative aimed at transforming the country of government.

“We’ve trained 18 lakh people over a span of four days. We might scale it (digital payments training) upward in January,” he said.

Government has set a target of training 1.25 crore individuals on digital payments by March 31, 2017.

Minister of state for regulation enforcement and IT PP Chaudhary appreciated National Informatics Centre and stated that there are approximately 8,000 sites facilitating transactions and carrying information regarding government work.

“I would like to suggest some of the regions where we need to carry out. We are far behind from the generation of Intellectual Property. In the field of cyber security, we have to be pro-active and not just be responsive,” Chaudhary said.

IT secretary Aruna Sundararajan stated that this is the first time Indians are having access.

In the occasion, Digital India awards, previously Called Web Ratna Awards were won by e-governance support of sections out of Jharkhand, Gujarat, Punjab and Uttar Pradesh. While Tamil Nadu received Haryana and Gold silver award for e-governance 20, Rajasthan won platinum award.

North Goa won platinum award . Kupwara received Gold and Udham Singh Nagar bagged silver award. Municipal companies of Surat, Greater Visakhapatnam, Madurai and UP’s e-NagarSewaUP bagged award.

The post <p>Govt to Begin Digital Village programme from 100 villages Shortly</p> appeared first on rose mary village.

from rose mary village http://www.rosemaryvillage.net/govt-to-begin-digital-village-programme-from-100-villages-shortly/

[bigdatanewsmagazine]

How predictive analytics helps Indian police fight crime – Computerworld India

Imagine a world in which we could predict crime and police officers would be sent to the incident spot as the crime is happening, or even before it happened. This could be achieved by predicting situations based on data trends in crimes.

According to the National Judicial Data reports, on an average, out of every 100 people worldwide, 12 people are affected by crime-related activities. In India alone, more than 3.7 crores cases were pending in courts as of 2014. In the wake of increasing crime rate in India, the police forces are increasingly turning to data analytics.

Big data and predictive analytics the cornerstones of analyzing multiple data types and data sources to predict and even prevent crimes from happening. As a result of the ever increasing shortage of police force to sift through the growing volumes of data including physical records, digital feeds, social media data and others, it is paramount for law enforcement agencies in the country to use advanced analytical tools. This move can save costs, and more importantly save time and the effort in crime investigation and prevention.

Data analytics, helpful for larger enterprises to make business decisions, can now be used to help police officers find the proverbial needle in massive haystacks, agreed analysts.

According to Ehtisham Zaidi, senior research analyst at Gartner, the Indian Police force has started taking an increasing interest in crime analytics using big data, which involves storing and analyzing huge volume and variety of data in real time, to predict and inference patterns and trends especially relating to human interactions and behavior.

“The police force now has access to mature big data storage platforms such as Hadoop, NoSQL etcetera, which allows them to store years’ worth of structured digital content and unstructured data within the same platform, and analyze them along with the incoming real time data to understand crime patterns within their jurisdictions,” he says.

He further adds that the Indian police force also uses predictive analytics to develop models using machine learning to know which areas are most prone to crime, and which individuals to keep on its watch list.

The Indian police force has started taking an increasing interest in crime analytics using big data, which involves storing and analyzing huge volume and variety of data in real time.

Delhi police have recently partnered with the ISRO to develop an analytical system—Crime Mapping, Analytics and Predictive System (CMAPS). CMAPS helps Delhi police to ensure internal security, controlling crime, and maintaining law and order through analysis of data and patterns.

According to a senior official in Delhi police, “Each one in the force will be equipped with Personal Digital Assistant device, which will be connected to a central system, and will contain records of more than two lakh criminals.”

Similarly, the Jharkhand police force is trying to implement an analytical system, with the help of IIM Ranchi, which would evaluate criminal records, date and time of crime occurrences, and location to predict crime-prone zones. The system is built on sophisticated algorithms and behavioral science, which will accumulate crime related data from all over the country.

From public records to social media information to informant tips, Indian police force has access to an expansive amount of data, which is spread over its legacy systems. Therefore, it becomes extremely important for Indian police across different states to adopt easy-to-operate analytical tools to utilize this vast intelligence.

According to Pankaj Kapoor, president at ACSG Corporate, several state police departments of the country are working with newer technologies to collect, analyze and predict data streams in real time to keep citizens safe.

“They use live camera feeds, communications, reports and other sources, by applying facial recognition and voice analytics,” says Kapoor.

Several other companies like IBM, Oracle, SAS, Microsoft, SAP, EMC, HP, and DELL are aggressively working towards the same agenda. Advanced analytic capabilities have now been integrated into several CCTV systems of the country to improve response times to crime incidents.

Alok Kumar, additional commissioner of Police (Law and Order), mentioned in an interview with ET, that the key is data mining and it is very important.

The Bangalore police with the help of IBM is now training officers on the better usage of data analytics software.

Another separate agency, National Crime Records Bureau (NCRB) collects a huge amount of data and acts as clearing house information on national and international criminals. They use geographic information-based analytical systems to predict and curb the crime rates in the country.

Although criminals always try to be ahead of the law, deployment of big data and predictive analytics in Indian police agencies will help the police force to enhance the effectiveness of their work, making our country safer.

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Originally posted on http://ift.tt/2mr3mAl

The post How predictive analytics helps Indian police fight crime – Computerworld India appeared first on Big Data News Magazine.

from How predictive analytics helps Indian police fight crime – Computerworld India

[townpostin]

Seraikela to Launch Hotel Guest Verification System

First-of-its-kind software in Jharkhand to enhance security and streamline processes Kolhan DIG and Seraikela SP to inaugurate innovative Hotel Guest Verification System, developed by NIC Jharkhand, on August 12 at Hotel Cruze. JAMSHEDPUR – Kolhan DIG Manoj Ratan Chote and Seraikela SP Mukesh Kumar Lunayat will inaugurate a pioneering Hotel Guest Verification System on August 12 at Hotel Cruze in…

[townpostin]

Jamshedpur Police Unveil New Program to Boost Women's Safety

Top official inspects emergency services, cybercrime unit during launch event Jamshedpur authorities have introduced a groundbreaking initiative aimed at enhancing security for women in the city. JAMSHEDPUR – A high-ranking police official inaugurated a novel women’s safety program in Jamshedpur, while also evaluating local law enforcement operations. The South Chhota Nagpur Range’s Inspector…

[bigdatanewsmagazine]

How predictive analytics helps Indian police fight crime – Computerworld India

Imagine a world in which we could predict crime and police officers would be sent to the incident spot as the crime is happening, or even before it happened. This could be achieved by predicting situations based on data trends in crimes.

According to the National Judicial Data reports, on an average, out of every 100 people worldwide, 12 people are affected by crime-related activities. In India alone, more than 3.7 crores cases were pending in courts as of 2014. In the wake of increasing crime rate in India, the police forces are increasingly turning to data analytics.

Big data and predictive analytics the cornerstones of analyzing multiple data types and data sources to predict and even prevent crimes from happening. As a result of the ever increasing shortage of police force to sift through the growing volumes of data including physical records, digital feeds, social media data and others, it is paramount for law enforcement agencies in the country to use advanced analytical tools. This move can save costs, and more importantly save time and the effort in crime investigation and prevention.

Data analytics, helpful for larger enterprises to make business decisions, can now be used to help police officers find the proverbial needle in massive haystacks, agreed analysts.

According to Ehtisham Zaidi, senior research analyst at Gartner, the Indian Police force has started taking an increasing interest in crime analytics using big data, which involves storing and analyzing huge volume and variety of data in real time, to predict and inference patterns and trends especially relating to human interactions and behavior.

“The police force now has access to mature big data storage platforms such as Hadoop, NoSQL etcetera, which allows them to store years’ worth of structured digital content and unstructured data within the same platform, and analyze them along with the incoming real time data to understand crime patterns within their jurisdictions,” he says.

He further adds that the Indian police force also uses predictive analytics to develop models using machine learning to know which areas are most prone to crime, and which individuals to keep on its watch list.

The Indian police force has started taking an increasing interest in crime analytics using big data, which involves storing and analyzing huge volume and variety of data in real time.

Delhi police have recently partnered with the ISRO to develop an analytical system—Crime Mapping, Analytics and Predictive System (CMAPS). CMAPS helps Delhi police to ensure internal security, controlling crime, and maintaining law and order through analysis of data and patterns.

According to a senior official in Delhi police, “Each one in the force will be equipped with Personal Digital Assistant device, which will be connected to a central system, and will contain records of more than two lakh criminals.”

Similarly, the Jharkhand police force is trying to implement an analytical system, with the help of IIM Ranchi, which would evaluate criminal records, date and time of crime occurrences, and location to predict crime-prone zones. The system is built on sophisticated algorithms and behavioral science, which will accumulate crime related data from all over the country.

From public records to social media information to informant tips, Indian police force has access to an expansive amount of data, which is spread over its legacy systems. Therefore, it becomes extremely important for Indian police across different states to adopt easy-to-operate analytical tools to utilize this vast intelligence.

According to Pankaj Kapoor, president at ACSG Corporate, several state police departments of the country are working with newer technologies to collect, analyze and predict data streams in real time to keep citizens safe.

“They use live camera feeds, communications, reports and other sources, by applying facial recognition and voice analytics,” says Kapoor.

Several other companies like IBM, Oracle, SAS, Microsoft, SAP, EMC, HP, and DELL are aggressively working towards the same agenda. Advanced analytic capabilities have now been integrated into several CCTV systems of the country to improve response times to crime incidents.

Alok Kumar, additional commissioner of Police (Law and Order), mentioned in an interview with ET, that the key is data mining and it is very important.

The Bangalore police with the help of IBM is now training officers on the better usage of data analytics software.

Another separate agency, National Crime Records Bureau (NCRB) collects a huge amount of data and acts as clearing house information on national and international criminals. They use geographic information-based analytical systems to predict and curb the crime rates in the country.

Although criminals always try to be ahead of the law, deployment of big data and predictive analytics in Indian police agencies will help the police force to enhance the effectiveness of their work, making our country safer.

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Originally posted on http://ift.tt/2nvQatt

The post How predictive analytics helps Indian police fight crime – Computerworld India appeared first on Big Data News Magazine.

from How predictive analytics helps Indian police fight crime – Computerworld India

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How predictive analytics helps Indian police fight crime – Computerworld India

Imagine a world in which we could predict crime and police officers would be sent to the incident spot as the crime is happening, or even before it happened. This could be achieved by predicting situations based on data trends in crimes.

According to the National Judicial Data reports, on an average, out of every 100 people worldwide, 12 people are affected by crime-related activities. In India alone, more than 3.7 crores cases were pending in courts as of 2014. In the wake of increasing crime rate in India, the police forces are increasingly turning to data analytics.

Big data and predictive analytics the cornerstones of analyzing multiple data types and data sources to predict and even prevent crimes from happening. As a result of the ever increasing shortage of police force to sift through the growing volumes of data including physical records, digital feeds, social media data and others, it is paramount for law enforcement agencies in the country to use advanced analytical tools. This move can save costs, and more importantly save time and the effort in crime investigation and prevention.

Data analytics, helpful for larger enterprises to make business decisions, can now be used to help police officers find the proverbial needle in massive haystacks, agreed analysts.

According to Ehtisham Zaidi, senior research analyst at Gartner, the Indian Police force has started taking an increasing interest in crime analytics using big data, which involves storing and analyzing huge volume and variety of data in real time, to predict and inference patterns and trends especially relating to human interactions and behavior.

“The police force now has access to mature big data storage platforms such as Hadoop, NoSQL etcetera, which allows them to store years’ worth of structured digital content and unstructured data within the same platform, and analyze them along with the incoming real time data to understand crime patterns within their jurisdictions,” he says.

He further adds that the Indian police force also uses predictive analytics to develop models using machine learning to know which areas are most prone to crime, and which individuals to keep on its watch list.

The Indian police force has started taking an increasing interest in crime analytics using big data, which involves storing and analyzing huge volume and variety of data in real time.

Delhi police have recently partnered with the ISRO to develop an analytical system—Crime Mapping, Analytics and Predictive System (CMAPS). CMAPS helps Delhi police to ensure internal security, controlling crime, and maintaining law and order through analysis of data and patterns.

According to a senior official in Delhi police, “Each one in the force will be equipped with Personal Digital Assistant device, which will be connected to a central system, and will contain records of more than two lakh criminals.”

Similarly, the Jharkhand police force is trying to implement an analytical system, with the help of IIM Ranchi, which would evaluate criminal records, date and time of crime occurrences, and location to predict crime-prone zones. The system is built on sophisticated algorithms and behavioral science, which will accumulate crime related data from all over the country.

From public records to social media information to informant tips, Indian police force has access to an expansive amount of data, which is spread over its legacy systems. Therefore, it becomes extremely important for Indian police across different states to adopt easy-to-operate analytical tools to utilize this vast intelligence.

According to Pankaj Kapoor, president at ACSG Corporate, several state police departments of the country are working with newer technologies to collect, analyze and predict data streams in real time to keep citizens safe.

“They use live camera feeds, communications, reports and other sources, by applying facial recognition and voice analytics,” says Kapoor.

Several other companies like IBM, Oracle, SAS, Microsoft, SAP, EMC, HP, and DELL are aggressively working towards the same agenda. Advanced analytic capabilities have now been integrated into several CCTV systems of the country to improve response times to crime incidents.

Alok Kumar, additional commissioner of Police (Law and Order), mentioned in an interview with ET, that the key is data mining and it is very important.

The Bangalore police with the help of IBM is now training officers on the better usage of data analytics software.

Another separate agency, National Crime Records Bureau (NCRB) collects a huge amount of data and acts as clearing house information on national and international criminals. They use geographic information-based analytical systems to predict and curb the crime rates in the country.

Although criminals always try to be ahead of the law, deployment of big data and predictive analytics in Indian police agencies will help the police force to enhance the effectiveness of their work, making our country safer.

Let’s block ads! (Why?)

Originally posted on http://ift.tt/2nvQatt

The post How predictive analytics helps Indian police fight crime – Computerworld India appeared first on Big Data News Magazine.

from How predictive analytics helps Indian police fight crime – Computerworld India