CMS System Identification Based on Improved Algorithm of Apriori. (September 2020)

• Record Type: Journal Article
• Authors: Liu, Zhonglin; Wang, Yan
• Is Part Of: Journal of physics. Volume 1631(2020)
• Publication Date: 2020-09
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1631/1/012062
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: Web applications on the Internet are often attacked by various vulnerabilities. Once various vulnerabilities are published, it becomes more and more important to quickly and accurately locate the affected Web application or system from the list of website resources. In this paper, based on the data and information of similar CMS websites, the improved Apriori algorithm is used to extract the features of CMS websites and their association rules, which can be used to quickly identify whether unknown websites are CMS templates of this type. Through experimental tests, four feature information used to identify WordPress is obtained. According to these features and relevance, the system type website can be identified more accurately.