Research Output

Generation of Network Behaviour Descriptions Using MCA Based on TAM

  In this paper, a multivariate correlation analysis technique based on triangle area map is introduced. The technique is applied for network traffic characterization and provides quality network behaviour descriptors for intrusion detectors to use. The effectiveness of the multivariate correlation analysis technique is evaluated using a misuse detector and an anomaly detector. The evaluation is conducted on the KDD Cup 99 dataset. The results show that the multivariate correlation analysis technique supplies with high quality network behaviour descriptors, which facilitate both the detectors with encouraging performance in detecting DoS attack network traffic.

  • Type:

    Conference Paper (unpublished)

  • Date:

    21 March 2013

  • Publication Status:

    Unpublished

  • Library of Congress:

    QA75 Electronic computers. Computer science

  • Dewey Decimal Classification:

    005.8 Data security

  • Funders:

    CISCO Research Centre

Citation

Tan, Z. (2013, March). Generation of Network Behaviour Descriptions Using MCA Based on TAM. Paper presented at Kaspersky Lab's 2013 Annual Student Cyber Security Conference, Singapore

Authors

Keywords

multivariate correlation analysis, anomaly-based detection, denial-of-service attack, misuse-based detection

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