Data Security Analysis Using Unsupervised Learning and Explanations

Abstract

Vulnerability assessment is an effective security mechanism to identify vulnerabilities in systems or networks before they are exploited. However manual analysis of network testing and vulnerability assessment results is time consuming and demands expertise. This paper presents an improvement of Analia, which is a security system to process results obtained… (More)
DOI: 10.1007/978-3-540-74972-1_16

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Cite this paper

@inproceedings{Corral2008DataSA, title={Data Security Analysis Using Unsupervised Learning and Explanations}, author={Guiomar Corral and Eva Armengol and Albert Fornells and Elisabet Golobardes}, booktitle={Innovations in Hybrid Intelligent Systems}, year={2008} }