NDLI: An adaptive security end-system model based on active defense

Content Provider	IEEE Xplore Digital Library
Author	Han-Ping Hu Xing Liang Bao-Liang Zhang Wen-Xuan Guo
Copyright Year	2004
Description	Author affiliation: Inst. of Image Recognition & Artificial Intelligence, Huazhong Univ. of Sci. & Technol., Wuhan (Han-Ping Hu; Xing Liang; Bao-Liang Zhang; Wen-Xuan Guo)
Abstract	In order to enhance the security of Web service as well as to support the differentiated service, the paper puts forward an adaptive model, which is based on active defense strategy. It uses a network prediction model on base of self-similar sequence theory to estimate current slates of transfer servers in end-system, then classifies them with fuzzy-C-means clustering method. Finally, we bring forward a load balancing algorithm that is founded on the classification results and grading users' requests. In that way, it optimizes the allocation of system resources and ensures data security and reliability. Moreover, this model is not dependent on the original operating system and is transplantable and extensible
Starting Page	331
Ending Page	335
File Size	312986
Page Count	5
File Format	PDF
ISBN	0780385497
DOI	10.1109/ICCS.2004.1359393
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-09-07
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Web services Predictive models Estimation theory Network servers Clustering methods Load management Clustering algorithms Resource management Data security Operating systems
Content Type	Text
Resource Type	Article

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