Research on intrusion detection based on Boyer-Moore pattern matching algorithm
Pages 1490 - 1494
Abstract
The security of WEB applications has always been an important research direction in the field of network security. Intrusion detection based on WEB logs is a common detection method. It analyzes the access logs of the WEB server to detect malicious requests and attack behaviors, thereby protecting the security of WEB applications. In this article, we will discuss an intrusion detection method based on the Boyer-Moore algorithm to prevent SQL injection and XSS attacks. This method is based on the pattern matching algorithm Boyer-Moore. It uses misuse detection technology to compare log information with known feature values to determine whether an attack has occurred, and displays the detection results to the user through a visual interface to help users Better understand the current security landscape. The experiment verified the effectiveness and feasibility of the intrusion detection system based on Boyer-Moore pattern matching algorithm, which can provide strong security guarantee for WEB applications.
References
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Ponmaniraj S, Kumar T D, Goel K A D. 2020. WEB INTRUSION DETECTION SYSTEM: IDENTIFICATION OF WEB SERVER RELIABILITY ON INTERNET CONNECTIONS THROUGH LOG FILE PREPROCESSING[J]. Journal of Critical Reviews 2020,7(18).
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Index Terms
- Research on intrusion detection based on Boyer-Moore pattern matching algorithm
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Published In
October 2023
1809 pages
ISBN:9798400708305
DOI:10.1145/3650400
Copyright © 2023 ACM.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 17 April 2024
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- Refereed limited
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EITCE 2023
EITCE 2023: 2023 7th International Conference on Electronic Information Technology and Computer Engineering
October 20 - 22, 2023
Xiamen, China
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Overall Acceptance Rate 508 of 972 submissions, 52%
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