LiYan Jiao

Work place: Department of Medical Science , Hebei University of Engineering, Handan, China



Research Interests: Medical Informatics, Medical Image Computing


She is a graduate student in Medical College of Hebei University of Engineering. Her field of interest is medical informatics.

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

By Xiaofeng Zhao Hua Jiang LiYan Jiao

DOI:, 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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