S. Ponmaniraj
Papers
1
Total Citations
4
H-Index
1
About
S. Ponmaniraj is a researcher focused on cybersecurity, with a particular emphasis on intrusion detection and web security. Their most-cited work, "Intrusion Detection: Spider Content Analysis to Identify Image-Based Bogus URL Navigation" (2021), introduces a novel approach to combating sophisticated phishing attacks that exploit image-based navigation to deceive users. By leveraging spider content analysis, Ponmaniraj's method enhances the detection of malicious URLs that bypass traditional text-based filters, contributing to more robust defense mechanisms against evolving cyber threats. This paper has garnered 4 citations, reflecting its relevance in the field of network security. Ponmaniraj's research addresses critical gaps in automated threat identification, offering practical solutions for safeguarding digital ecosystems. Their work underscores a commitment to advancing cybersecurity tools, making it valuable for students and researchers exploring intrusion detection systems, web security, and adversarial machine learning.
Research Focus
Key Achievements
Top Papers
- 1