Zeming Shao
Papers
1
Total Citations
6
H-Index
1
About
Zeming Shao is a researcher in network security and data processing, with a focus on efficient pattern-matching algorithms for internet protocols. His most cited work, "A multi-pattern hash-binary hybrid algorithm for URL matching in the HTTP protocol" (2017, 6 citations), introduces the MH algorithm—an improvement over earlier binary-matching methods like HEM. By combining hash tables and binary tables, MH achieves faster and more accurate multi-pattern URL matching, directly addressing challenges in network security applications such as intrusion detection and content filtering. Shao’s contributions lie in optimizing algorithmic efficiency for real-time traffic analysis, where speed and precision are critical. Though his citation count is modest, his work demonstrates a practical impact on HTTP-level security tools, offering a scalable solution for processing large volumes of URLs. Shao’s research bridges theoretical algorithm design and applied network defense, making him a notable figure in the niche of protocol-specific pattern matching.
Research Focus
Key Achievements
Top Papers
- 1