Titlebook: Computational Intelligence in Security for Information Systems; 4th International Co álvaro Herrero,Emilio Corchado Conference proceedings

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álvaro Herrero,Emilio CorchadoState-of-the-art research.Fast-track conference proceedings.Unique visibility

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978-3-642-21322-9Springer Berlin Heidelberg 2011

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Anja Bischoff,Elke Speidel-Walzature machine-learning algorithms trained using statistical representations of the terms that usually appear in the e-mails. Still, these methods require a training step with labelled data. Dealing with the situation where the availability of labelled training instances is limited slows down the pro

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Bedeutung der Benchmark für den Anlageerfolgomalies in the data-processing networks is regarded as a problem of data classification allowing to use data mining and machine learning techniques to perform intrusion detection. With such automatic processing procedures, human expertise only focuses on a small set of potential anomalies which may

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Grundlagen der Portfoliooptimierung) measure [4], which was successfully tested on low-level package filters, i.e., the KDD CUP’99 dataset. However, the performance of the GeFS measure in analyzing high-level HTTP-traffic is still unknown. In this paper we study the GeFS measure for WAFs. We conduct experiments on the publicly availa

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https://doi.org/10.1007/978-3-322-99875-0mporal aggregated IP flows for the off/online processing of Netflow records and full packet captures from ISP and honeypot input data and is operating on aggregated Netflow records and is supporting network management activities related to the anomaly and attack detection.