Doowon Jeong

Papers

Total Citations

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About

Doowon Jeong is a leading researcher at the intersection of artificial intelligence and digital forensics, with a primary focus on AI security threats, cybercrime investigation, and forensic analysis. His most-cited work, "Artificial Intelligence Security Threat, Crime, and Forensics: Taxonomy and Open Issues" (2020, 76 citations), provides a foundational taxonomy that systematically categorizes the security vulnerabilities inherent in AI algorithms and training data, while mapping these threats to forensic investigation challenges. This seminal paper has become a key reference for researchers and practitioners seeking to understand how AI can both enable and combat cybercrime. Jeong’s contributions extend beyond taxonomy to practical frameworks that bridge the gap between AI security and digital forensics, helping law enforcement and cybersecurity professionals adapt to evolving threats. His work is particularly notable for its interdisciplinary approach, integrating insights from computer science, criminology, and social engineering to address the unique forensic challenges posed by AI-driven attacks. With a growing citation impact, Jeong continues to shape the discourse on securing AI systems and advancing forensic methodologies for the next generation of cyber threats.