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A Proposal of Algorithm for Web Applications Cyber Attack Detection

  • Published:2014 Issue: Volume: Page:680-687
  • ISSN:0302-9743
  • Container-title:Computer Information Systems and Industrial Management
  • language:
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Author:

Kozik Rafał,Choraś Michał,Renk Rafał,Hołubowicz Witold

Publisher

Springer Berlin Heidelberg

Reference17 articles.

1. LNCS (LNAI);M. Choraś,2010

2. Lecture Notes in Computer Science;M. Choraś,2011

3. CCIS;M. Choraś,2011

4. OWASP Top 10 2010, The Ten Most Critical Web Application Security Risks (2010)

5. Application Vulnerability Trends Report, http://www.cenzic.com/downloads/Cenzic_Vulnerability_Report_2014.pdf

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1. Using Multivariate Heuristic Analysis for Detecting Attacks in Website Log Files: A Formulaic Approach;Lecture Notes in Networks and Systems;2024

2. Empirical Evaluations of Machine Learning Effectiveness in Detecting Web Application Attacks;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2023-12-15

3. Machine Learning Techniques for Cyber Security: A Review;International Conference on Innovative Computing and Communications;2023-10-26

4. An empirical assessment of ensemble methods and traditional machine learning techniques for web-based attack detection in industry 5.0;Journal of King Saud University - Computer and Information Sciences;2023-03

5. Detection of Web-Based Attacks using Tree-Based Learning Models: An Evaluation Study;Artificial Intelligence and Green Computing;2023
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