The Study of Invasion Examination Algorithm Based on Improvement Fuzzy C Means

Abstract:

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This paper put forward intrusion detection algorithm based on improved fuzzy C means (FCM) algorithm and execute the anomaly detection on KDDCUP data set, build intrusion detection system based improved algorithm and analyze the feasibility of the system. Through the fuzzy C means value's improvement algorithm, solve the fuzzy C means value algorithm problem that the algorithm sensitive to selection of the initial values and easily to fall in the local best solution. Thereby under the condition guarantee integrality and consistency of data attribute values, get rid of blindness of selecting initial value and reduce clustering time and algorithm complexity, enhance speed of the algorithm.

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Periodical:

Edited by:

Yanwen Wu

Pages:

720-725

DOI:

10.4028/www.scientific.net/AMR.267.720

Citation:

K. Chen and W. D. Ke, "The Study of Invasion Examination Algorithm Based on Improvement Fuzzy C Means", Advanced Materials Research, Vol. 267, pp. 720-725, 2011

Online since:

June 2011

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Price:

$35.00

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