Design and Evaluation of an Anomaly Detection Method based on Cross-Feature Analysis using Rough Sets for MANETs
Ihn-Han Bae, Hwa-Ju Lee, Journal of Internet Computing and Services, Vol. 9, No. 6, pp. 27-36, Dec. 2008
Full Text:
Keywords: Anomaly Detection, Rough Sets, Cross-feature Analysis, Inter-feature Correlation Patterns, MANETs
Abstract
Statistics
Show / Hide Statistics
Statistics (Cumulative Counts from November 1st, 2017)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.
Statistics (Cumulative Counts from November 1st, 2017)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.
|
Cite this article
[APA Style]
Bae, I. & Lee, H. (2008). Design and Evaluation of an Anomaly Detection Method based on Cross-Feature Analysis using Rough Sets for MANETs. Journal of Internet Computing and Services, 9(6), 27-36.
[IEEE Style]
I. Bae and H. Lee, "Design and Evaluation of an Anomaly Detection Method based on Cross-Feature Analysis using Rough Sets for MANETs," Journal of Internet Computing and Services, vol. 9, no. 6, pp. 27-36, 2008.
[ACM Style]
Ihn-Han Bae and Hwa-Ju Lee. 2008. Design and Evaluation of an Anomaly Detection Method based on Cross-Feature Analysis using Rough Sets for MANETs. Journal of Internet Computing and Services, 9, 6, (2008), 27-36.