Johannes Bouche

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Due to the increase in network attacks, anomaly detection has gained importance. In this paper, we present and investigate the idea of institutions cooperating for performing anomaly detection, i.e. institutions jointly analyzing their network traffic, in order to identify malicious attacks, using classification-based machine learning techniques. We compare(More)
In this paper, we study how an insider such as, the administrator of a cloud service provider, can compromise guest machines in a IaaS cloud structure in order to obtain data from the guests and even achieve code execution. Moreover, we present results obtained by the implementation of such attacks. In general, our results show that cloud infrastructures(More)
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