Rizwan Ur Rahman

Jaypee University of Information Technology, Maulana Azad National Institute of Technology

Papers

Total Citations

H-Index

About

Rizwan Ur Rahman is a cybersecurity researcher specializing in web application security, digital forensics, and automated threat detection. His work addresses critical vulnerabilities posed by Internet bots, including malicious web scraping and automated cybercrime. Rahman’s most cited paper, “A new web forensic framework for bot crime investigation” (2020, 27 citations), introduces a structured methodology for analyzing digital evidence in bot-driven attacks, providing investigators with a systematic approach to trace and attribute malicious automated activities. His earlier survey on CAPTCHA systems (2012, 15 citations) comprehensively reviewed mechanisms designed to distinguish human users from bots, highlighting ongoing challenges in web authentication. Rahman further explored the risks of unauthorized data extraction in “The Emerging Threats of Web Scrapping to Web Applications Security and Their Defense Mechanism” (2020, 7 citations), proposing countermeasures against automated content harvesting. His research bridges forensic analysis and proactive defense, offering practical frameworks for securing web applications against evolving bot threats. With a focus on real-world applicability, Rahman’s contributions support both academic understanding and industry practices in combating automated cyber threats.