Generative Artificial Intelligence for Next-Generation Security Paradigms

9Human-Centric Security: The Role of Generative AI in User Behavior Analysis

Sunil Sharma¹*, Priyajit Dash², Bhupendra Soni³ and Yashwant Singh Rawal⁴

¹Department of CSE, Techno India NJR Institute of Technology, Udaipur, India

²Department of Electronics and Communication Engineering, GIFT, Autonomous, Bhubaneswar, India

³Department of Electronics and Communication Engineering, ACEIT, Jaipur, India

⁴Department of Hotel Management, Amity University, Jaipur, India

Abstract

Building on the foundational concepts of generative AI’s role in enhancing security systems through user behavior analysis, this presents a comprehensive exploration into the transformative potential of AI technologies in crafting personalized and adaptive security frameworks. Through the in-depth analysis of behavioral biometrics integrated with generative AI models, this chapter highlights several outcomes: notably, a significant reduction in false positive rates in anomaly detection systems, enhanced detection of sophisticated cybersecurity threats through continuous learning and adaptation to new user behaviors, and an improvement in user experience by minimizing intrusive security measures. This work examines ways of lowering the false positive rates and enhancing the detection of advanced cybersecurity threats while applying behavioral biometrics coupled with Generative Adversarial Networks (GANs) and reinforcement learning models. Experimental analysis shows that the proposed approach reduces false positives ...