AI in Social Engineering-the Next Generation of Offensive Cyber Operations
Few can argue that Social Engineering is the most effective way to gain access to a system. From an offensive cyber perspective, Social Engineering reduces the need to identify a new vulnerability within a system to gain access by praying on psychological factors like emotion and fear.
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Mathematical modeling of adaptive information security strategies using composite behavior models. [PDF]
Nuaim AA, Nuaim AA, Nadeem M, Agrawal A.
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Impact of AI on the Cyber Kill Chain: A Systematic Review. [PDF]
Kazimierczak M +3 more
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Generative AI and LLMs for Critical Infrastructure Protection: Evaluation Benchmarks, Agentic AI, Challenges, and Opportunities. [PDF]
Yigit Y +8 more
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Recent Developments and Applications of Drone Swarm: Techniques, Strategies, and Challenges. [PDF]
Raj R, Kos A.
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A Review of Agentic AI in Cybersecurity: Cognitive Autonomy, Ethical Governance, and Quantum-Resilient Defense. [PDF]
Adabara I +4 more
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Violet teaming as a resilient framework for bridging civilian-military electronic health record interoperability. [PDF]
Ellinport B, Titus A, Trump BD.
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ACO-tuned randomized decision tree for detecting cyber threats in mobile web applications. [PDF]
Aljohani A.
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Emotionally based strategic communications as a new tool in defensive cognitive warfare. [PDF]
Ćosić K, Popović S, Wiederhold B.
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Immersed isogeometric analysis with boundary conformal quadrature for finite deformation elasticity. [PDF]
Elbadry YT, Antolín P, Weeger O.
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