Xiaofeng Zhao

Work place: Department of Information Management, Hebei University of Engineering, HanDan, China

E-mail: Qboy_best@163.com


Research Interests: Computer systems and computational processes, Computer Architecture and Organization, Hardware Security, Information Security, Network Security, Data Mining, Data Structures and Algorithms


Master degree in computer software and theory from the Hefei University of Technology of Hefei, China in of interest is computer security and data mining. n Information Management Department, Economics and Management School, Hebei University of engineering in 2007, and is a Lecturer now. He was a Computer Engineer of Handan Iron and Steel Group from 2000 to 2004. 2007. His fieldHe joined

Author Articles
A Data-Fusion-Based Method for Intrusion Detection System in Networks

By Xiaofeng Zhao Hua Jiang LiYan Jiao

DOI: https://doi.org/10.5815/ijieeb.2009.01.05, Pub. Date: 8 Oct. 2009

Hackers’ attacks are more and more intelligent, which makes it hard for single intrusion detection methods to attain favorable detection result. Therefore, many researches have carried out how to combine multiple security measures to provide the network system more effective protection. However, so far none of those methods can achieve the requirement of the practical application. A new computer information security protection system based on data fusion theory is proposed in this paper. Multiple detection measures are “fused” in this system, so that it has lower false negatives rate and false positive rate as well as better scalabilities and robust.

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