Titlebook: Artificial Intelligence Tools for Cyber Attribution; Eric Nunes,Paulo Shakarian,Andrew Ruef Book 2018 The Author(s) 2018 Cyber security.Cy

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2191-5768 ion is not only a challenging problem, but there are also problems in performing such research, particularly in obtaining relevant data. This SpringerBrief desc978-3-319-73787-4978-3-319-73788-1Series ISSN 2191-5768 Series E-ISSN 2191-5776

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SpringerBriefs in Computer Sciencehttp://image.papertrans.cn/b/image/162153.jpg

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https://doi.org/10.1007/978-3-319-73788-1Cyber security; Cyber attribution; Cyber attacks; Artificial intelligence; Argumentation; Machine Learnin

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https://doi.org/10.1007/978-3-031-14649-7tack. In this chapter, we leverage the dataset from the capture-the-flag event held at DEFCON discussed in Chap. ., and propose . model comprised solely of the AM (that is, without probabilistic information) designed to aid an analyst in attributing a cyberattack. We build models from latent variabl

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https://doi.org/10.1007/978-3-031-14649-7lity of standard machine learning models to identify the actor as demonstrated in Chap. .. Structured argumentation-based frameworks like DeLP can help alleviate deception to some extent by providing arguments for the selection of a particular actor/actors responsible for the attack based on the evi