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10.1109/IHMSC.2014.111guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
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An Abnormal Network Behavior Detection System Based on Compound Session

Published: 26 August 2014 Publication History
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  • Abstract

    In recent years, with the rapid development of the Internet on a global scale and the prompt popularization of various App applications, the Internet is increasingly becoming an integral part of people's lives. Meanwhile various network problems caused by abnormal network behavior have become more prominent than any time before. Furthermore we also have a lot of personal information on the Internet, which will bring us significant losses if are gave away. For that, to find an effective method to detect the abnormal network behavior is becoming more and more important. This paper first introduces a new detection method based on compound session, and then shows the effectiveness of the proposed method. A further objective of this method is to identify the infected host.

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    • (2017)A Survey Leading to a New Evaluation Framework for Network-based Botnet DetectionProceedings of the 2017 7th International Conference on Communication and Network Security10.1145/3163058.3163059(59-66)Online publication date: 24-Nov-2017

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    cover image Guide Proceedings
    IHMSC '14: Proceedings of the 2014 Sixth International Conference on Intelligent Human-Machine Systems and Cybernetics - Volume 02
    August 2014
    406 pages
    ISBN:9781479949557

    Publisher

    IEEE Computer Society

    United States

    Publication History

    Published: 26 August 2014

    Author Tags

    1. Compound Session
    2. Hadoop platform
    3. Micro meso and macro statistics
    4. periodic behavior

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    • (2017)A Survey Leading to a New Evaluation Framework for Network-based Botnet DetectionProceedings of the 2017 7th International Conference on Communication and Network Security10.1145/3163058.3163059(59-66)Online publication date: 24-Nov-2017

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