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Adversarial AI-Driven Cyber Threat Intelligence: A Human-Centric Framework for Detecting and Mitigating AI-Augmented Social Engineering Attacks
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Author(s): Soumi Ghosh (Maharaja Agrasen Institute of Technology, India), Ritik Raj (Maharaja Agrasen Institute of Technology, India)and Amita Goel (Maharaja Agrasen Institute of Technology, India)
Copyright: 2026
Pages: 66
Source title:
Cyber Forensic Frameworks for User-Centric Human Threat Intelligence Analysis
Source Author(s)/Editor(s): Seifedine Kadry (Lebanese American University, Lebanon), Mritunjay Rai (Shri Ramswaroop Memorial University, Barabanki, India)and Padmesh Tripathi (Delhi Technical Campus, Greater Noida, India)
DOI: 10.4018/979-8-3373-4898-8.ch010
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Abstract
Artificial intelligence and cybersecurity convergence has fundamentally transformed the threat environment, in particular, the social engineering attacks. In this paper, a comprehensive holistic user-centered approach to detection and reduction of adversarial AI-assisted social engineering attacks is proposed with assistance of adversarial AI-determined menace insight. The proposed architecture takes into consideration the concepts of machine learning, behavioral analytics, and human-computer interaction to create a defense multilayer. The experiments prove that the rate of AI-generated phishing attacks and identification of deepfake-generated campaigns are high, respectively, 94.3 and 99.0, respectively. The viability of the framework is proven by the experiments that are founded on the real-life data and simulated AI-based attacks that are serious challenges to the framework. It is an original work of literature that bridges many gaps in the current threat intelligence models through the application of human-centered principles of design, adversarial artificial intelligence detection systems, and training systems that adapt to new developments. Interdisciplinary character of the framework brings along with the ethical considerations and policy orientation and human behavioral analysis besides the technical innovations and thus it is a holistic approach to the next-generation cybersecurity issues.
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