Research on intrusion detection based on Boyer-Moore pattern matching algorithm
Author:
Affiliation:
1. Cybersecurity Academy, Changchun University, China
2. Changchun sixth middle school, China
3. Jilin provincial transport scientific research instiina, China
4. Chongqing Public Security Bureau, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3650400.3650650
Reference11 articles.
1. Estimating Overhead Performance of Supervised Machine Learning Algorithms for Intrusion Detection[J];Winfred Y;International Journal of Information Technologies and Systems Approach (IJITSA),2023
2. Modeling an intrusion detection using recurrent neural networks[J];Mariam I;Journal of Engineering Research,2023
3. WEB INTRUSION DETECTION SYSTEM: IDENTIFICATION OF WEB SERVER RELIABILITY ON INTERNET CONNECTIONS THROUGH LOG FILE PREPROCESSING[J];Ponmaniraj S;Journal of Critical Reviews,2020
4. Charu G Kumar R S Kumar A M. GeneMiner. 2022. A Classification Approach for Detection of XSS Attacks on Web Services[J]. Computational Intelligence and Neuroscience.
5. Rong C. 2022 Design and Protection Strategy of Distributed Intrusion Detection System in Big Data Environment[J]. Computational Intelligence and Neuroscience.
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