Towards an Early Warning System for Network Attacks Using Bayesian Inference

H. K. Kalutarage, C. Lee, Siraj Ahmed Shaikh, F. L. B. Sung

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

    6 Citations (Scopus)
    102 Downloads (Pure)

    Abstract

    The Internet has become the most vulnerable part of critical civil infrastructures. Proactive measures such as early warnings are required to reduce the risk of disasters that can be created using it. With the continuous growth in scale, complexity and variety of networked systems the quality of data is continuously decreasing. This paper investigates the ability to employ Bayesian inference for network scenario analysis with low quality data to produce early warnings. Theoretical account of the approach and experimental results using a real world attack scenario and a real network traffic capture is presented.
    Original languageEnglish
    Title of host publication2015 IEEE 2nd International Conference on Cyber Security and Cloud Computing (CSCloud)
    PublisherIEEE
    Pages399 - 404
    ISBN (Electronic)978-1-4673-9300-3
    ISBN (Print)978-1-4673-9299-0
    DOIs
    Publication statusPublished - 7 Jan 2016
    Event2015 IEEE 2nd International Conference on Cyber Security and Cloud Computing (CSCloud) - New York, United States
    Duration: 3 Nov 20155 Nov 2015

    Publication series

    Name2015 IEEE 2nd International Conference on Cyber Security and Cloud Computing (CSCloud)

    Conference

    Conference2015 IEEE 2nd International Conference on Cyber Security and Cloud Computing (CSCloud)
    Abbreviated titleCSCloud
    Country/TerritoryUnited States
    CityNew York
    Period3/11/155/11/15

    Bibliographical note

    © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

    Keywords

    • Bayes methods
    • Internet
    • alarm systems
    • computer network security
    • Bayesian inference
    • critical civil infrastructures
    • early warning system
    • network attacks
    • Early warning systems
    • Low quality data analysis
    • Network security
    • Heart beat
    • Payloads
    • Peer-to-peer computing
    • Protocols
    • Security

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