A XSS Attack Detection Method Based on Subsequence Matching Algorithm
Zhang Jingyu, Hongchao Hu, Shumin Huo, Huanruo Li · 2021
XSS vulnerabilities are one of the main threats to current Web security, and measures must be taken to reduce the growing threat of XSS attacks. This research proposes a detection technique using a subsequence matching algorithm. The key point of the matching algorithm during detection is to find the common subsequence of the input parameters and the generated data, and set a threshold to limit the length of the common substring. The results obtained show that the proposed technique can successfully detect XSS vulnerabilities. Therefore, the technology proved to be more effective in detecting XSS attacks.