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The Use of Artificial Intelligence to Curb Cyber Crimes in India

The term artificial intelligence (AI) is prominent in the today's world of technology. In so many ways, it is still a developing science in light of the problems presented by the twenty-first century. AI use has been established in daily life. Since AI has such a significant influence on human existence now, it is difficult to comprehend a world without it. Simply define, artificial intelligence (AI) is the study of how people think, work, learn, and decide in every situation in life, whether it is connected to problem-solving, learning something new, thinking logically, or coming up with a solution, etc.

Cybercrimes are becoming pretty common and frequently reported in the news. It is a global challenge, not simply one that affects one nation. AI is meaningless without strong security measures since it may be readily accessible by outsiders. Governments, banks, and global corporations now face a serious threat as a result of cyber security threats. Hackers use a lot of private and business data to their advantage, which poses a serious threat to the online community.

Introduction
A concern with cyber security extends beyond the IT industry. Undoubtedly, it has a very broad reach. Everyone is comfortable using the internet today.

Smart phones are now used by even illiterate individuals, and they are become a necessary element of modern life. If someone claims that today's people "live on the internet," they are not kidding. Internet use has gradually taken over as a vital element of daily life. Everyone uses AI in their daily lives without having the necessary awareness and comprehension.

Hackers have a fantastic opportunity to simply trick individuals at this moment. On occasion, hackers will mislead individuals with solid AI understanding. Despite adequate security measures, cyber attacks are increasing fast. It may come in the form of malicious software, phishing, password assaults, drive-by downloads made possible via hyperlinks, virus attacks, etc.

Cyber Crime

The newest and maybe most challenging issue facing the digital age is cybercrime. The phrase "cybercrime" has no definition under Indian law. In reality, even after being amended by the Information Technology (amendment) Act 2008, the Indian Cyber legislation, the Indian Criminal Code never refers to "cybercrime" at any time.

Cyber terrorism refers to planned, politically motivated attacks on information, computer systems, and computer networks programmes and information that result in acts of violence against people, governments, and property .The Information Technology Act of 2000 in India addresses the issue of cybercrime. It covers the following topics: electronic commerce, usage of digital signatures to define various cybercrimes, and commercial transactions conducted online .

Artificial Intelligence:

Artificial intelligence is when machines, particularly computer systems, simulate human intelligence processes. Knowledge - based systems, natural language processing, speech recognition, and machine vision are some examples of specific AI applications. AI services and technologies are developing quickly.

The 2012 Alex Net neural network marked the beginning of a new age of high-performance AI built on GPUs and massive data sets, which can be related to current advancements in AI tools and applications. The main advancement was the capacity to train machine learning on vast quantities of data simultaneously across several GPU cores in a more scalable manner.

The need to handle cybercrimes in India and the potential of India in doing so:

  • Cybercrime is becoming more of a problem in India, as it is in many other nations across the world. The risk of cyber attacks and other cybercrimes has grown along with the usage of technology and the internet. These crimes can have major economic and societal effects, including money losses, reputational damage, and loss of personal data.
     
  • In recent years, India has seen a number of high-profile cybercrime instances, including data breaches, phishing attacks, ransomware assaults, and online fraud. These crimes have an impact on essential infrastructure and the nation's security in addition to people and companies.
     
  • Using artificial intelligence might be one way to reduce cybercrime (AI). AI has the ability to identify and respond to threats more rapidly and efficiently, as well as assist in detecting and stopping cyber attacks before they happen.
     
  • AI may also be used to automate tasks related to cybersecurity, such as threat detection and response. Security teams may be able to concentrate on more difficult problems as a result, increasing productivity. AI may also be used to create better secure systems and find holes before thieves can exploit them.
     
  • The National Cyber Security Policy, which describes the nation's plan for safeguarding its cyberspace, was introduced by the government in 2013. The goal of the policy is to establish a workforce with the essential skills to combat cybercrimes, a secure and resilient cyberspace, and to encourage cybersecurity innovation.

Therefore, it is imperative that cybercrimes are addressed in India. These crimes have the ability to seriously hurt people, businesses, and the nation at large. AI has a lot of potential for reducing these crimes, and it can assist to improve cybersecurity defenses and stop cyber attacks in their tracks.

Current State of Cyber Crime in India:

  1. In India, the National Crime Records Bureau (NCRB) has seen a sharp rise in cybercrimes in recent years. There were 44,546 documented incidences of cybercrime in India in 2019, according to the NCRB's most recent report on crime data in the nation. This is an increase of 63.5% from the prior year.
     
  2. Types of Cyber Crime in India:
    • Financial frauds: They comprise phishing schemes, credit/debit card frauds, and internet banking frauds.
    • Hacking: Gaining unauthorized access to a computer system or network is known as hacking.
    • Cyber stalking and harassment: Stalking, bullying, and harassment committed online or through social media are all considered to be cyber stalking and harassment.
    • Identity theft: Identity theft is the theft of a person's name, address, and social security number, among other personal data.
    • Intellectual property theft: Theft of intellectual property involves the taking of rights to things like patents, trademarks, and copyrights.
       
  3. The effects of cybercrime
    • Financial loss:
      Because hackers frequently target financial information, cybercrimes can cause serious financial losses for both people and corporations.
       
    • Damage to reputation:
      Cybercrimes have the potential to cause long-lasting harm to the reputation of a person or an organization.
       
    • Information loss:
      Cybercriminals are capable of stealing sensitive data, including financial or personal information, which can result in fraud and identity theft.
       
    • Legal repercussions:
      Cybercrimes are illegal, and anyone found guilty of them may have to deal with the legal repercussions.

Overall, cybercrimes are a serious threat to people and businesses in India, thus it is important to take the necessary precautions to protect oneself from them. Strong passwords, updated software, and avoiding clicking on shady websites and emails are essential. Also, it's critical to notify law enforcement immediately of any cybercrimes:
  1. Literature Review
    1. Reduction of Cyber Crimes by Effective Use of Artificial Intelligence Technique s a article written by Karheek D. N., Kumar M. A., Kumar M. R. P. (2012):- In this paper, cryptography techniques are highlighted. Security is the fundamental issue of cryptography. Cyberattacks can be reduced by implementing novel security methods like the quantum channel.
       
    2. An article written by Govardhan. S. (2010):
      In his article, he focused more on the dynamic difficulties that cyber security faces. Hackers' intents nowadays are hostile, and in order to accomplish their goals, they are using unconventional methods, posing a serious danger to cyber security. He used the well-known example of Operation Aurora to illustrate his point.
       
  2. Objective Of The research Paper:
    The main Objective behind writing this particular research paper is to assess how well AI techniques are performing at recognizing various cyber attacks

Methods Used to Curb Cybercrimes in India:

The IT Act of 2000, the National Cyber Security Policy of 2013, and the Cyber Crime Cells are some of the typical strategies utilized in India to combat cybercrime.

Some of the methods to curb cyber crimes in India are as following:
  • In order to combat cybercrimes, each state in India has formed the Cyber Crime Cells, specialist forces. Along with the neighborhood police department, these cells are in charge of looking into and prosecuting cybercrimes. The Cyber Crime Cells are manned with qualified individuals who are experts in cybercrime investigation and are furnished with the newest technology and equipment to look into cybercrimes.
     
  • To give legal validity to electronic transactions and to establish a legal framework for e-commerce, the IT Act of 2000 was established. Cybercrimes including hacking, identity theft, phishing, and cyber stalking are covered by the Act's provisions. The Act includes provisions for the creation of Cyber Appellate Tribunals to hear appeals against the decisions of Adjudicating Officers as well as sanctions and punishment for cybercrimes.
     
  • To establish a framework for the defense of India's cyberspace, the National Cyber Security Policy of 2013 was unveiled. The goal of the policy is to enhance the cyberspace regulatory framework and develop a safe cyber ecosystem. The strategy also aims to create collaborations with business, academia, and other stakeholders to spread knowledge about cybersecurity and create cutting-edge cybersecurity solutions.
     
  • To respond swiftly to cyber attacks and to coordinate responses with other government agencies, business partners, and international organizations, the Indian government has also developed the Indian Computer Emergency Response Team (CERT-In) in addition to these conventional techniques.

Overall, these conventional techniques have been successful in reducing cybercrimes in India; nevertheless, in order to keep up with the constantly developing nature of cyber threats, there is still a need for continuing investment in cybersecurity infrastructure and training for law enforcement agencies like;

The 2000 IT Act:

To give legal validity to electronic transactions and to establish a legal framework for e-commerce, the IT Act of 2000 was established. Cybercrimes including hacking, identity theft, phishing, and cyber stalking are covered by the Act's provisions. The Act includes provisions for the creation of Cyber Appellate Tribunals to hear appeals against the decisions of Adjudicating Officers as well as sanctions and punishment for cybercrimes.

Unauthorized access to a computer system, computer network, or computer resource is a crime under Section 43 of the IT Act. Hacking is a criminal offence under Section 66, and transmitting offensive communications via communication services is a criminal offence under Section 66A. Identity theft is covered in Section 66B, and phishing is covered in Part 66C.

The 2013 National Cyber Security Strategy:

To establish a thorough framework for the defence of India's cyberspace, the National Cyber Security Policy of 2013 was unveiled. The goal of the policy is to enhance the cyberspace regulatory framework and develop a safe cyber ecosystem. The strategy also aims to create collaborations with business, academia, and other stakeholders to spread knowledge about cybersecurity and create cutting-edge cybersecurity solutions .

In conclusion, India has successfully reduced the amount of cybercrimes through traditional measures such as the Cyber Crime Cells, the IT Act of 2000, the National Cyber Security Strategy of 2013, and the Indian Computer Emergency Response Team (CERT-In). Nonetheless, to stay up with the shifting nature of cybercrime, law enforcement agencies must continuously invest in cybersecurity infrastructure and training.

Efficient Use of Artificial Intelligence Approaches to Reduce Cybercrimes
It encompasses a number of strategies for protecting the integrity of networks, stored data, programmes, etc. against tampering, illegal use, and hacker assault. Data breaches, identity theft, and other cyber attacks by hackers are all prevented by the appropriate implementation of cyber security . Thus securing data against unwanted access, alteration, and destruction is made possible by cyber security.

Following are some ways AI might reduce cybercrimes in India:

  • Monitoring for cybersecurity:
    AI may be used to keep track on network activity and spot any oddities that would point to a cyberattack. AI systems are able to recognise risks in real-time, learn from patterns in network traffic, and warn security staff before a breach happens.
     
  • Fraud detection:
    Artificial intelligence (AI) systems are able to be trained to recognise financial transaction fraud, including credit card fraud and money laundering. AI can detect questionable activities and notify authorities by studying data trends.
     
  • Malware detection:
    By examining code and behaviour patterns, AI can find and eliminate malware. Artificial intelligence (AI) is able to recognise new malware types and stop them from infecting computers by examining the structure of the code and its behaviour.
     
  • Predictive analysis:
    Analysing data in a predictive manner allows AI to spot possible cyber risks in advance. AI can forecast upcoming threats and enable security teams to take preventative action by utilising machine learning algorithms to find trends in data.
     
  • Support for investigations:
    AI can help with cybercrime investigations by analysing massive amounts of data and finding patterns that might point to the origin of an attack. This can aid in the identification of suspects and the development of a case against them.

AI has the ability to significantly reduce cybercrimes in India. The nation's cybersecurity posture may be greatly improved by its capacity to analyse massive amounts of data, spot abnormalities, and pinpoint possible threats.

Some of the AI tools which can be used to Identify and curb crime in India are as following:
  • Phishing detection:
    Phishing is a widespread cybercrime in which criminals deceive victims into divulging critical information by sending emails, using social media, or using messaging apps. By examining the content of emails, links, and attachments, AI-based systems can assist in the detection of phishing assaults. Artificial intelligence (AI) algorithms are able to spot suspicious trends in email content or URL links and flag them for additional examination. AI may also examine the email's origin to determine whether it originates from a known phishing domain.
     
  • Threat Intelligence:
    An AI-based service called threat intelligence gathers and examines data from numerous sources in order to identify possible cyber threats. This technology can assist businesses in keeping abreast of new security dangers and proactively preventing assaults. Threat intelligence may also be used to recognize patterns and trends in cyber attacks, which can assist businesses in deciding where to focus their cybersecurity efforts
     
  • Security Information and Event Management (SIEM):
    In order to identify and address cyber risks, security information and event management, or SIEM, an AI-based system, combines security information management with security event management. When a possible danger is identified, SIEM collects and analyses log data from numerous systems and apps to send out real-time warnings. Security workers can respond rapidly when trends in log data suggest a cyber attacks thanks to the AI algorithms employed in SIEM

AI and Its use to curb cyber crime in other countries:
AI has been effectively applied to combat cybercrime in a number of nations.

These are a few instances:
  • United States:
    To monitor and identify cyber threats to government networks, the US Department of Homeland Security (DHS) employs the National Cybersecurity Protection System (NCPS), an AI-powered system. In order to monitor network traffic and spot possible threats in real-time, NCPS employs machine learning techniques.
     
  • United Kingdom:
    The National Crime Agency (NCA) of the UK employs AI to identify and stop online fraud and child exploitation. The NCA analyses data from multiple sources, including social media and dark web forums, using machine learning algorithms to find possible threats and suspects.
     
  • United States:
    To monitor and identify cyber threats to government networks, the US Department of Homeland Security (DHS) employs the National Cybersecurity Protection System (NCPS), an AI-powered system. In order to monitor network traffic and spot possible threats in real-time, NCPS employs machine learning techniques.
     
  • Israel:
    To identify and stop cyberattacks on military networks, the Israeli Defense Forces (IDF) employ artificial intelligence. The IDF analyses network traffic using machine learning techniques to spot possible threats immediately. The IDF also makes use of AI to create prediction models that foresee potential cyberthreats.
In conclusion, AI has been effectively applied to combat cybercrimes in a number of nations, including the detection and prevention of cyberattacks, the identification of prospective risks, and the prediction of future assaults. These examples show how AI has the ability to improve cybersecurity and reduce the dangers brought on by cybercrimes.

Implementing AI-based solutions in India
Lack of Standardization:
AI-based solutions in India are not standardised, which may cause problems with interoperability. Integrating solutions from several suppliers can be challenging since different vendors utilise various frameworks. This may make it difficult to scale up solutions.

Regulatory Framework:
India lacks a thorough regulatory framework for artificial intelligence. This may raise questions about how AI is used and regulated. To guarantee that AI is created and applied responsibly and ethically, a defined regulatory framework is required.

Bias in Data:
Data bias is a major problem for AI, and it is also present in India. Many of the data sets employed in artificial intelligence-based solutions are skewed in favour of particular populations, such as urban regions or particular demographic groupings. Bias in data sets can be difficult to remove, and this might result in discriminating consequences for AI-based solutions.

Overall, putting AI-based solutions into practice in India is fraught with difficulties. Yet, India can overcome these difficulties and become a global leader in AI innovation with the correct investments in people, infrastructure, and legal frameworks.

Conclusion
To conclude we can say that Artificial intelligence (AI) offers a lot of potential for reducing cybercrime in India. Using AI's capacity to identify, prevent, and respond to cybercrimes quickly and effectively is crucial given the growth in their frequency. Deep learning, machine learning, and other AI-based tools may all be used to find patterns, abnormalities, and other signs of cyber attacks.

Moreover, AI can help law enforcement agencies locate and follow cybercriminals, analyse enormous amounts of information to find suspicious activity, and forecast and stop potential assaults. India can remain ahead of the quickly changing cyber threat landscape and shield its citizens from the destructive consequences of cybercrime by incorporating Information into cybersecurity systems.

Most cyberattacks can be stopped by practicing appropriate cyber ethics. In a nutshell, networked systems are utilised to conduct crucial business activities, making computer security a very wide field that has been growing increasingly critical.

Recommendation
Some of the recommendations are as following:
The Indian government may create AI-based training systems that mimic various cyberattacks, such as phishing, malware, and ransomware assaults, and offer instruction on how to avoid and respond to them.

Adopt AI-based cybersecurity measures:
AI-based cybersecurity measures can be used to improve the efficacy of current cybersecurity measures. Systems for threat detection, intrusion detection, and prevention that are based on behaviour may learn from prior assaults and spot anomalies in real time.

The detection and prosecution of cybercriminals can be accomplished by establishing AI-based cybercrime investigative units. To analyse vast volumes of data and find fraudsters, these units can employ AI-based solutions. Systems powered by artificial intelligence (AI) may be used to find trends in criminal activity and create profiles of potential cybercriminals.

References
  • Ankur Modi & Arunabh Chattopadhyay, Threat Intelligence in India: An Overview, 18 Int'l J. Comp. Applications 14 (2018).
  • Jyoti Prakash Singh, Arvind Kumar Yadav & Shalabh Kumar, Design and Implementation of SIEM System for Security Management in Indian Enterprises, 179 Int'l J. Comp. App. 9 (2018).
  • Muhammad Adnan Hashmi, Abubakr Muhammad, and Syed Muhammad Ali Abbas, "Artificial Intelligence Techniques for Cybersecurity: An Overview of Use Cases," IEEE Access, vol. 8, 2020, pp. 192267-192281.
  • S. Singh and S. Silakari, "A Survey of Cyber Attack Detection Systems", IJCSNS International Journal of Computer Science and Network Security, vol. 9, no. 5, 2009.
  • S. Dilek, H. ´┐Żakır and M. Aydın,"Applications Of Artificial Intelligence Techniques To Combating Cyber Crimes: A Review", International Journal of Artificial Intelligence & Applications (IJAIA), vol. 6, no. 1, 2015.

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