Artificial intelligence is one of the newest innovations which offenders exploit to satisfy their criminal desires. Although understanding cybercrime that is associated with this relatively new technology is essential in developing proper preventive measures, little has been done to examine this area. Therefore, this paper provides an overview of the two articles featured in the special issue of the International Journal of Cybersecurity Intelligence and Cybercrime , one about deepfakes in the metaverse and the other about social engineering attacks.
The articles were written by the winners of the student paper competition at the International White Hat Conference 2023.
The study Victimization by Deepfake in the Metaverse: Building a Practical Management Framework, by
Julia Stavola and Kyung-Shick Choi is an exciting addition to cyber victimization studies, researching personal cybervictimization in the metaverse. It bridges the gap between research on deepfake-related interpersonal crime and effective prevention methods
The study Harnessing Large Language Models to Simulate Realistic Human Responses to Social Engineering Attacks: A Case Study, by Mohammad Asfour and Juan Carlos Murillo contributes to the growing body of literature on how GPT can be utilized to simulate target responses to social engineering attacks. The authors utilize GPT-4 large language modeling (LLM) to simulate target vulnerabilities to social engineering (e.g., phishing) attacks.
Više o ovome, vid. Parti, K. , Dearden, T. & Choi, S. (2023). Understanding the Use of Artificial Intelligence in Cybercrime. International Journal of Cybersecurity Intelligence & Cybercrime: 6(2)
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