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The 15th Conference on the Wireless across the Taiwan straits (WRTS 2010 E-BOOK)

Kunming,China,9.12-9.17，2010

ISBN: 978-1-935068-21-1 Scientific Research Publishing, USA

E-Book 350pp Pub. Date: September 2010

Category: Computer Science & Communications

Price: $80

Title: An Improved Fuzzy Correlation Algorithm for Time-series Events of Network Security
Source: The 15th Conference on the Wireless across the Taiwan straits (WRTS 2010 E-BOOK) (pp 221-224)
Author(s): Qi Zhao, School of Information Science and Engineering, Yunnan University, Kunming, 650091, China
Jiang Yu, School of Information Science and Engineering, Yunnan University, Kunming, 650091, China
Jun Chang, School of Information Science and Engineering, Yunnan University, Kunming, 650091, China
Abstract: Time-series events appear in chronological order , and they offer an essential hypothesis for cause-effect correlation analysis. The traditional strict matching algorithm brings decision-making errors. This paper presents a fuzzy correlation method based on attribute similarity. The proposed algorithm describes the matching degree of attributes by fuzzy value, and describes the attributes unmatched by fuzzy value quantitatively. The effectiveness of the method is proved by using DOS attack.
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