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- W2413818253 abstract "The task of securing enterprise networks is extremely difficult due to their size, complexity, diversity and dynamic environment. This dissertation proposes a network protection framework that integrates defense components, and uses them to support network state awareness and analysis. State awareness and analysis are supported by intelligent system techniques such as artificial neural networks, fuzzy logic and data mining. In particular, a fuzzy intrusion detection model is presented for detecting attacks for which signatures do not exist. Moreover, the model can synthesize signatures for new attacks and provide abstract views that support network security analysis. The network protection framework proposed in this work is scalable, distributed and secure. Components of the framework, which are dispersed throughout the network to eliminate single points of failure, communicate using secure channels. The use of a common network data repository in conjunction with the application of intelligent system techniques support security analyses in the face of inaccurate and incomplete information. Specifically, the framework provides system administrators with a common interface for obtaining network intelligence, and implementing security measures and countermeasures." @default.
- W2413818253 created "2016-06-24" @default.
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- W2413818253 date "2004-01-01" @default.
- W2413818253 modified "2023-09-23" @default.
- W2413818253 title "A framework for network intelligence and security" @default.
- W2413818253 hasPublicationYear "2004" @default.
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