Learning classifier systems for adaptive learning of intrusion detection system

Chang Seok Lee, Sung Bae Cho

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Relational databases contain information that must be protected such as personal information, the problem of intrusion detection of relational database is considered important. Also, the pattern of attacks evolves and it is difficult to grasp by rule-based method or general machine learning, so adaptive learning is needed. Learning classifier systems are system that combines supervised learning, reinforcement learning and evolutionary computation. It creates and updates classifiers according to data input. Learning classifier systems can learn adaptive because they generate and evaluate classifiers in real time. In this paper, we apply accuracy based learning classifier systems to relational database and confirm that adaptive learning is possible. Also, we confirmed their practical usability that they close to the best accuracy, though were not the best.

Original languageEnglish
Title of host publicationInternational Joint Conference SOCO’17- CISIS’17-ICEUTE’17, Proceedings
PublisherSpringer Verlag
Pages557-566
Number of pages10
ISBN (Print)9783319671796
DOIs
Publication statusPublished - 2018 Jan 1
EventInternational Joint Conference on 12th International Conference on Soft Computing Models in Industrial and Environmental Applications, SOCO 2017, 10th International Conference on Computational Intelligence in Security for Information Systems, CISIS 2017 and 8th International Conference on European Transnational Education, ICEUTE 2017 - Leon, Spain
Duration: 2017 Sep 62017 Sep 8

Publication series

NameAdvances in Intelligent Systems and Computing
Volume649
ISSN (Print)2194-5357

Other

OtherInternational Joint Conference on 12th International Conference on Soft Computing Models in Industrial and Environmental Applications, SOCO 2017, 10th International Conference on Computational Intelligence in Security for Information Systems, CISIS 2017 and 8th International Conference on European Transnational Education, ICEUTE 2017
CountrySpain
CityLeon
Period17/9/617/9/8

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All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science(all)

Cite this

Lee, C. S., & Cho, S. B. (2018). Learning classifier systems for adaptive learning of intrusion detection system. In International Joint Conference SOCO’17- CISIS’17-ICEUTE’17, Proceedings (pp. 557-566). (Advances in Intelligent Systems and Computing; Vol. 649). Springer Verlag. https://doi.org/10.1007/978-3-319-67180-2_54