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Titlebook: Information Security and Privacy Research; 27th IFIP TC 11 Info Dimitris Gritzalis,Steven Furnell,Marianthi Theoha Conference proceedings 2

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Peer to Peer Botnet Detection Based on Flow Intervalsuals. Botnets have been used in a variety of cybercrime, from click-fraud to DDOS attacks to the generation of spam. In this paper we propose an approach to detect botnet activity by classifying network traffic behavior using machine learning classification techniques. We study the feasibility of de
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Towards a Universal Data Provenance Framework Using Dynamic Instrumentation, or the creation of architectures that are built from the ground up with provenance capabilities. In this paper we propose a universal data provenance framework, using dynamic instrumentation, which gathers data provenance information for real-world applications without any code modifications. Our
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Improving Flask Implementation Using Hardware Assisted In-VM Isolationerating system. In nature, OM and SS should be isolated from each other to separate decision from enforcement. However, current implementation of Flask, such as SELinux and SEBSD, puts both OM and SS in the same address space. If one component is subverted, the whole system will be exposed to the at
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