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Titlebook: Cyber Security Cryptography and Machine Learning; First International Shlomi Dolev,Sachin Lodha Conference proceedings 2017 Springer Inter

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Supervised Detection of Infected Machines Using Anti-virus Induced Labels,t for identifying malware. Using this training set, our detector is able to automatically detect complex and dynamic patterns of suspicious machine behavior and issue high-quality security alerts. We believe that our approach can be used for providing a detection scheme that complements signature-based detection and is harder to circumvent.
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Stylometric Authorship Attribution of Collaborative Documents,ce. Additionally, we perform authorship attribution of pre-segmented text from the Wikia dataset, and show that while this performs better than multi-label learning it requires large amounts of data to be successful.
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Scalable Attack Path Finding for Increased Security,ng and eliminating optimal attacker paths. Results on an attack graph extracted from a network of a real organization with more than 300 hosts and 2400 vulnerabilities show that using the proposed graph reductions can improve the search time by a factor of 4 while maintaining the quality of the results.
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