A systematic literature review analyzed 34 research studies on the integration of Artificial Intelligence (AI) with cyberpsychology (CPSY) to enhance cybersecurity. The review, conducted using PRISMA methodology, categorized AI applications into Anomaly Detection, Vulnerability Risk Prediction, Security Awareness Training, and Authentication/Identity Verification. It also detailed the AI methodologies employed, such as machine learning, deep learning, natural language processing, and reinforcement learning, alongside common psychological concepts and dataset usage. The study identified research gaps, open challenges, and trending methodologies in the AI-CPSY landscape. AI
IMPACT This review consolidates research on AI's role in understanding human behavior for cybersecurity, highlighting current applications and future research directions.
RANK_REASON The item is a systematic literature review published on arXiv, detailing research findings and methodologies. [lever_c_demoted from research: ic=1 ai=1.0]
- Anomaly Detection
- Authentication/Identity Verification
- Cybersecurity
- Cyberpsychology
- deep learning
- Georg Thamer Francis MSc
- machine learning
- natural language processing
- PRISMA
- reinforcement learning
- Vulnerability Risk Prediction
- AI
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