Xiankai Meng
Papers
1
Total Citations
6
H-Index
1
About
Xiankai Meng is a researcher specializing in network security and efficient data matching algorithms, with a particular focus on optimizing HTTP protocol processing. His most notable contribution is the development of the multi-pattern hash-binary hybrid (MH) algorithm, an improvement over the earlier HEM algorithm for URL matching. By integrating hash tables with binary tables, Meng's MH algorithm significantly enhances the speed and accuracy of multi-pattern matching in network traffic, addressing critical challenges in real-time security applications such as intrusion detection and content filtering. Though his work has accumulated a modest citation count of six, it represents a practical advancement in algorithmic efficiency for high-throughput network environments. Meng's research demonstrates a commitment to solving real-world problems in cybersecurity, where even incremental improvements in pattern-matching speed can have substantial impacts on system performance and threat detection capabilities.
Research Focus
Key Achievements
Top Papers
- 1