Tapas Kumar
Papers
1
Total Citations
4
H-Index
1
About
Tapas Kumar is a cybersecurity researcher whose work focuses on advancing intrusion detection systems and combating web-based threats. His key research areas include network security, malicious URL detection, and content analysis, with a particular emphasis on identifying sophisticated image-based phishing attacks. In his most-cited paper, "Intrusion Detection: Spider Content Analysis to Identify Image-Based Bogus URL Navigation" (2021), Kumar introduced a novel spider-based content analysis technique that systematically examines web page imagery to detect deceptive navigation patterns—a critical contribution to protecting users from visually disguised phishing attempts. While this work has garnered 4 citations, its impact lies in addressing an underexplored vulnerability in web security: the use of images to mask malicious URLs. Kumar’s research offers practical solutions for strengthening browser-based defenses and has implications for both academic cybersecurity research and real-world threat mitigation. His dedication to uncovering hidden attack vectors underscores his role in advancing the field, making his work a valuable resource for students and researchers exploring the intersection of image analysis and intrusion detection.
Research Focus
Key Achievements
Top Papers
- 1