A Survey on Multivariate Correlation Analysis for Denial of Service Attack Detection
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064

Survey Paper | Computer Science & Engineering | India | Volume 3 Issue 12, December 2014

A Survey on Multivariate Correlation Analysis for Denial of Service Attack Detection

Sana Chaugale, Dr. Tanuja Dhope

Denial of Service attacks (Dos) cause serious effect on systems. Due to shared nature of the medium in wireless networks it makes the situation too easy to make possibility of an attack. DoS attack detection system uses Multivariate Correlation Analysis (MCA) for most accurate network traffic characterization. MCA extract the geometrical correlations between network traffic features. MCA DoS attack detection system employs the principle of anomaly-based detection during attack recognition. This makes more easy for detecting known and unknown DoS attacks by simply learning the patterns of legitimate network traffic.

Keywords: Denial of Service, KDD cup99, multivariate correlation, triangle area

Edition: Volume 3 Issue 12, December 2014

Pages: 984 - 987

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How to Cite this Article?

Sana Chaugale, Dr. Tanuja Dhope, "A Survey on Multivariate Correlation Analysis for Denial of Service Attack Detection", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=SUB14514, Volume 3 Issue 12, December 2014, 984 - 987

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