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Titlebook: Risks and Security of Internet and Systems; 12th International C Nora Cuppens,Frédéric Cuppens,Joaquin Garcia-Alfar Conference proceedings

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A Study of Threat Detection Systems and Techniques in the CloudWe consider the threats defined in the Cloud Security Alliance (CSA) report as well as the techniques for their detection, starting from classical signature-based approaches and finishing with recent machine learning based techniques. This paper also contains an analysis of original results presente
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Phishing Attacks Root Causese victim’s personal identification, bank account information, or any other sensitive data. There are a number of anti-phishing techniques and tools in place, but unfortunately phishing still works. One of the reasons is that phishers usually use human behaviour to design and then utilise a new phish
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Automatic Vulnerability Classification Using Machine Learningvulnerabilities per day cannot be processed manually anymore. We implemented two different approaches that are able to automatically classify vulnerabilities based on the vulnerability description. We evaluated our approaches, which use Neural Networks and the Naive Bayes methods respectively, on the base of publicly known vulnerabilities.
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Remotely Assessing Integrity of Software Applications by Monitoring Invariants: Present Limitations lyses, and categorizes the identified limitations. Our work suggests that, even if it is still promising, further studies are needed to decree if invariants monitoring could be practically used as a remote protection of software applications.
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