Anticipatory Cyber Crimes during AI Era- An Indian Context

Authors

  • Kadapa Chenchi Reddy, Mohd.Saleem.

Keywords:

Artificial Intelligence (AI), machine learning (ML), natural language processing (NLP), small and medium-sized enterprise (SME), Personal Data Protection Bill (PDPB),

Abstract

The rapid integration of Artificial Intelligence (AI) into various sectors has transformed the digital landscape, bringing significant advancements and unforeseen challenges. In India, a nation with an expanding digital economy and rising dependence on technology, the emergence of anticipatory cyber-crimes poses a unique threat. Anticipatory cyber-crimes refer to malicious activities that leverage AI to predict, manipulate, or exploit vulnerabilities before they occur. This evolving threat landscape includes AI-driven phishing attacks, deep-fake technologies, automated hacking, and predictive profiling, all of which are becoming increasingly sophisticated. India's burgeoning digital infrastructure, coupled with gaps in cybersecurity awareness and preparedness, creates fertile ground for these crimes. Although AI offers significant promise for proactive cybersecurity measures—such as real-time threat detection and predictive analytic—its dual-use nature also empowers malicious actors to outpace conventional defenses.This article explores the multifaceted challenges India faces in addressing anticipatory cyber-crimes during the AI era. It delves into the current legal, regulatory, and technological frameworks, analyzing their efficacy in mitigating AI-driven cyber threats. Ethical considerations surrounding AI deployment, including issues of privacy and accountability, are also discussed. Furthermore, the role of public-private sector collaboration and the need for robust policy reforms to foster a resilient cybersecurity ecosystem are examined.To safeguard India’s digital future, this article advocates for a proactive approach that integrates advanced AI tools, stringent cybersecurity laws, and enhanced public-private cooperation. By adopting anticipatory strategies and fostering a culture of cybersecurity awareness, India can navigate the challenges posed by AI-driven Cybercrime and ensure a secure digital environment in the era of AI.

Downloads

Download data is not yet available.

References

General Data Protection Regulation (GDPR), 2016 O.J. (L 119) 1 (EU).

Information Technology Act, 2000, No. 21, Acts of Parliament (India).

Personal Data Protection Bill, 2019 (India).

Act on the Protection of Personal Information (APPI), Act No. 57 of 2003, amended by Act No. 44 of 2017 (Japan)

Lei Geral de Proteção de Dados Pessoais (LGPD), Lei No. 13,709, de 14 de agosto de 2018 (Brazil)

Cybercrime Act 2001 (Cth) (Australia)

Digital Millennium Copyright Act (DMCA), Pub. L. No. 105-304, 112 Stat. 2860 (1998)

Data Protection Act 2018, c. 12 (U.K.).

Personal Data Protection Act (PDPA), Act No. 26 of 2012 (Sing.)

Cybersecurity Law of the People's Republic of China, National People's Congress, Order No. 53, 2017 (China).

Computer Fraud and Abuse Act (CFAA), 18 U.S.C. § 1030 (2018).

General Data Protection Regulation (GDPR), Regulation (EU) 2016/679, 2016 O.J. (L 119) 1 (EU).

Downloads

Published

12.06.2024

How to Cite

Kadapa Chenchi Reddy. (2024). Anticipatory Cyber Crimes during AI Era- An Indian Context. International Journal of Intelligent Systems and Applications in Engineering, 12(4), 5447–5459. Retrieved from https://www.ijisae.org/index.php/IJISAE/article/view/7396

Issue

Section

Research Article