A XSS attack detection method based on skip list

Shan Chun, Cui Jing, Hu Changzhen, Xue Jingfeng*, Wang Hao, Mhagama Raphael

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

In recent years, the destruction of cross-site scripting (XSS) attacks is gradually increasing, but the existing XSS defense methods have some problems, sucli as, complex disposition, low performance, high non-response rates or high rate of false positives. Therefore, it is imminent to establish an efficient XSS defense mechanism. This paper presents a cross-site schpting attacking detection method, which is based on improved algohtlim skip list. It can fulfill the rapid detecnon of cross-site scripting attacks by using some steps, for example, creating a skip list signature, detecting suspicious strings, marking attack vectors and so on. Experiment shows that compared with the tradinonal defense method of XSS attack, the new defense method can reduce the false alarm rate of detection, and improve the time performance effectively.

Original languageEnglish
Pages (from-to)95-106
Number of pages12
JournalInternational Journal of Security and its Applications
Volume10
Issue number5
DOIs
Publication statusPublished - 2016

Keywords

  • Feature vectors
  • Skip list
  • Web security
  • XSS

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