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Application of a Collaborative Filtering Recommendation Algorithm Based on Cloud Model in Intrusion Detection
Journal Title Journal of Networks
Journal Abbreviation jnw
Publisher Group Academy Publisher
Website http://ojs.academypublisher.com
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Title Application of a Collaborative Filtering Recommendation Algorithm Based on Cloud Model in Intrusion Detection
Authors Zhou, Zhigang; Wang, Deguang
Abstract Intrusion detection is a computer network system that collects information on several key points. and it gets these information from the security audit, monitoring, attack recognition and response aspects, check if there are some the behavior and signs against the network security policy. The classification of data acquisition is a key part of intrusion detection. In this article, we use the data cloud model to classify the invasion, effectively maintaining a continuous data on the qualitative ambiguity of the concept and evaluation phase of the invasion against the use of the coordination level filtering recommendation algorithm greatly improves the intrusion detection system in the face of massive data processing efficiency suspicious intrusion.
Publisher ACADEMY PUBLISHER
Date 2011-02-01
Source Journal of Networks Vol 6, No 2 (2011)
Rights Copyright © ACADEMY PUBLISHER - All Rights Reserved.To request permission, please check out URL: http://www.academypublisher.com/copyrightpermission.html. 

 

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