Software Engineer, PhD researcher in Computer Science specializing in Cybersecurity AI
My research primarily revolves around employing Large Language Models (LLMs) for automated scam-baiting in the cybersecurity domain. I aim to develop a scalable multi-channel scam-baiting system that can effectively engage scammers via email, phone, SMS, and social media. Key areas of focus include prompt engineering, system scalability, and evaluating the impact on scam operations. Collaborative efforts are also in progress to extend this research.
1. Alsyefi, S. (2019). "Implementation of Security and Privacy Aspects in a Healthcare Social Network" Presented at the CATA19 Conference. Read More
Currently working on additional papers for a conference and a journal, focusing on multi-channel scam-baiting and the integration of AI in cybersecurity defense mechanisms.
1. AI-Based Email Fraud Prevention System: Developed an AI-powered system that identifies and mitigates potential cybersecurity email threats in real-time.
2. AI-Based Phone Fraud Prevention System: Working on an AI-powered system that identifies and mitigates potential cybersecurity email threats in real-time.
3. Multi-Channel Scam-Baiter: To create an automated multi-channel scam-baiting system utilizing LLMs to engage with and disrupt scam operations by using multiple communication channels.
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