Qingping Tan
Papers
1
Total Citations
6
H-Index
1
About
Qingping Tan is a researcher specializing in network security and efficient pattern-matching algorithms, with a particular focus on optimizing URL matching in HTTP protocols. Their most notable contribution is the development of the MH algorithm, a multi-pattern hash-binary hybrid approach that improves upon their earlier HEM algorithm. This work addresses critical challenges in network security by enabling faster and more accurate detection of malicious URLs in high-traffic environments. The MH algorithm, detailed in their 2017 paper, has garnered 6 citations and demonstrates Tan's ability to innovate in the intersection of data structures and cybersecurity. By combining hash tables and binary tables, Tan's research provides a practical solution for real-time network monitoring and intrusion detection systems. While their citation count reflects a focused niche, the work is foundational for researchers and engineers building scalable security tools. Tan's contributions highlight the importance of algorithmic efficiency in protecting modern web infrastructure, making their research valuable for students and professionals interested in network security, pattern matching, and applied algorithm design.
Research Focus
Key Achievements
Top Papers
- 1