THE EVOLUTION OF IDENTITY SECURITY IN THE AGE OF AI: CHALLENGES AND SOLUTIONS
DOI:
https://doi.org/10.34218/IJCET_16_01_165Keywords:
Artificial Intelligence Security, Digital Identity Management, Identity Verification Systems, Regulatory Compliance, Synthetic Identity Fraud, Deepfakes, Quantum CryptographyAbstract
This comprehensive article explores the evolving landscape of identity security in the age of artificial intelligence, examining the challenges and opportunities presented by advancing technology. The article investigates the impact of AI-driven threats on digital identity systems, focusing on deep fake technologies, synthetic identity fraud, and current verification system limitations. Through detailed examination of cross-border compliance challenges, regulatory frameworks, and implementation considerations, the research presents strategic solutions for enhancing detection systems and integrating regulatory technology. The article encompasses advanced security controls, monitoring systems, and future considerations including quantum-resistant cryptography and decentralized identity systems. By synthesizing findings from multiple research studies, this article provides a framework for understanding and addressing the complex interplay between AI advancement and identity security, offering insights into effective risk mitigation strategies and technological solutions.
References
McKinsey Global Institute, "Artificial Intelligence The Next Digital Frontier?," McKinsey & Company 2017. [Online]. Available: http://dln.jaipuria.ac.in:8080/jspui/bitstream/123456789/14268/1/MGI-artificial-intelligence-discussion-paper.pdf
Federal Trade Commission, "Consumer Sentinel Network Data Book 2023," Data Book 2023, February 2024. [Online]. Available: https://www.ftc.gov/system/files/ftc_gov/pdf/CSN-Annual-Data-Book-2023.pdf
Jia Wen Seow, et al., "A comprehensive overview of Deepfake: Generation, detection, datasets, and opportunities," Neurocomputing, Volume 513, 7 November 2022, Pages 351-371. [Online]. Available: https://www.sciencedirect.com/science/article/abs/pii/S0925231222012334
K. Veena, et al., "Determination of performance to verify the synthetic identity theft by training the neural networks," IEEE International Conference on Smart Technologies and Management for Computing, Communication, Controls, Energy and Materials (ICSTM), 2017. [Online]. Available: https://ieeexplore.ieee.org/document/8089161
[5] Sakib Shahriar, et al., "A Survey of Privacy Risks and Mitigation Strategies in the Artificial Intelligence Life Cycle," IEEE Access, vol. 11, pp. 64891-64906, 2023. [Online]. Available: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10155147
Nishant Anand, et al., "Responsible innovation for digital identity systems,"Cambridge University Press: 20 December 2021. [Online]. Available: https://www.cambridge.org/core/journals/data-and-policy/article/responsible-innovation-for-digital-identity-systems/F21D5B33C5639357466867941D0EFF00
Rupa Rani, et al., "Secure UPI: Machine Learning-Driven Fraud Detection System for UPI Transactions," IEEE 2nd International Conference on Disruptive Technologies (ICDT), 2024.
[Online]. Available: https://ieeexplore.ieee.org/document/10489682
Bryan Patrick, et al., "Digital Identity Verification Standards and Their Regulatory Implications," International Journal of Digital Identity Management, vol. 5, no. 2, pp. 67-89, 2024. [Online]. Available: https://www.researchgate.net/publication/385950067_Digital_Identity_Verification_Standards_and_Their_Regulatory_Implications
Hari Prasad Josyula, et al., "Digital Identity Verification: Transforming KYC Processes in Banking Through Advanced Technology And Enhanced Security Measures," International Research Journal of Modernization in Engineering Technology and Science 5(9):128-137, 2023. [Online]. Available: https://www.researchgate.net/publication/377663232_Digital_Identity_Verification_Transforming_KYC_Processes_in_Banking_Through_Advanced_Technology_And_Enhanced_Security_Measures
Aytaj Badirova, et al., "International Research Journal of Modernization in Engineering Technology and Science 5(9):128-137," IEEE Access, vol. 11, pp. 45673-45690, 2023. [Online]. Available: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10132479
Khondokar Fida Hasan, et al., "A Framework for Migrating to Post-Quantum Cryptography: Security Dependency Analysis and Case Studies," IEEE Transactions on Information Forensics and Security, vol. 19, no. 1, pp. 1147-1162, 2024. [Online]. Available: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10417052
Rafael Torres Moreno, et al., "A Trusted Approach for Decentralised and Privacy-Preserving Identity Management," IEEE Access ( Volume: 9), 2021. [Online]. Available: https://ieeexplore.ieee.org/abstract/document/9495805
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Copyright (c) 2025 Tejeswar Reddy Velpucharla (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
