A Hybrid Multiobjective Evolutionary Algorithm for Anomaly Intrusion Detection

Ugur Akyazi, A. Sima Uyar

    Research output: Chapter in Book/Conference proceedings/Edited volumeChapterScientificpeer-review

    Original languageEnglish
    Title of host publicationDistributed Computing and Artificial Intelligence
    Pages509-516
    Volume79
    Publication statusPublished - 2010

    Publication series

    NameAdvances in Intelligent and Soft Computing

    Keywords

    • Anomaly-based Intrusion Detection
    • DARPA 1999 Dataset
    • Artificial Immune System
    • Multiobjective Evolutionary Algorithm

    Cite this

    Akyazi, U., & Uyar, A. S. (2010). A Hybrid Multiobjective Evolutionary Algorithm for Anomaly Intrusion Detection. In Distributed Computing and Artificial Intelligence (Vol. 79, pp. 509-516). (Advances in Intelligent and Soft Computing). https://link.springer.com/chapter/10.1007/978-3-642-14883-5_65