Mohd Rizman Sultan Mohd

Papers

Total Citations

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About

Mohd Rizman Sultan Mohd is a cybersecurity researcher whose work focuses on the intersection of artificial intelligence and information security, particularly in the domain of CAPTCHA vulnerability analysis. His most cited paper, "A Review on Text-based CAPTCHA Breaking Based on Deep Learning Methods" (2023), provides a comprehensive survey of how deep learning techniques are being leveraged to compromise text-based CAPTCHAs—the widely used security measure designed to distinguish human users from automated bots. This work critically examines the arms race between CAPTCHA designers and attackers, highlighting the growing sophistication of AI-driven breaking methods that threaten the integrity of websites and information systems globally. With 6 citations in a short period, his research has already garnered attention from scholars concerned with cybersecurity resilience. By systematically analyzing the weaknesses in current CAPTCHA implementations, Mohd Rizman contributes essential knowledge for developing more robust authentication mechanisms. His work is particularly valuable for students and researchers exploring adversarial machine learning, web security, and the practical vulnerabilities of widely deployed security protocols in an era of increasingly capable AI systems.