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標(biāo)題: Titlebook: Artificial Intelligence Tools for Cyber Attribution; Eric Nunes,Paulo Shakarian,Andrew Ruef Book 2018 The Author(s) 2018 Cyber security.Cy [打印本頁]

作者: mandatory    時間: 2025-3-21 18:31
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作者: 小口啜飲    時間: 2025-3-21 21:42
Argumentation-Based Cyber Attribution: The , Model, typically contain contradictory data coming from different sources, as well as data with varying degrees of uncertainty attached. In this chapter, we propose a probabilistic structured argumentation framework that arises from the extension of Presumptive Defeasible Logic Programming (PreDeLP) with
作者: guzzle    時間: 2025-3-22 01:34
Belief Revision in ,,mpleteness, overspecification, or inherently uncertain content. The presence of these varying levels of uncertainty doesn’t mean that the information is worthless—rather, these are hurdles that the knowledge engineer must learn to work with. In this chapter, we continue developing the . model introd
作者: 舔食    時間: 2025-3-22 08:17

作者: ARIA    時間: 2025-3-22 08:56
Enhanced Data Collection for Cyber Attribution, chapter, we describe a game-based framework (Capture-the-Flag) to produce cyber attribution data with deception. We discuss the motivation and the design of the contest and the framework to record data. The framework is available as open source software.
作者: Fsh238    時間: 2025-3-22 15:10
Conclusion,lity 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
作者: Infinitesimal    時間: 2025-3-22 17:55

作者: 煉油廠    時間: 2025-3-22 22:31

作者: 來就得意    時間: 2025-3-23 02:33

作者: 饒舌的人    時間: 2025-3-23 06:03

作者: 新義    時間: 2025-3-23 11:55
https://doi.org/10.1007/978-3-031-14649-7p alleviate deception to some extent by providing arguments for the selection of a particular actor/actors responsible for the attack based on the evidence. In Chap. ., we provided results showing how such models afford significant performance improvements over approaches based solely on machine learning techniques.
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作者: 擴(kuò)音器    時間: 2025-3-24 03:36

作者: Aqueous-Humor    時間: 2025-3-24 08:54

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作者: 陳列    時間: 2025-3-24 15:04

作者: 讓步    時間: 2025-3-24 22:48

作者: 可轉(zhuǎn)變    時間: 2025-3-25 01:36

作者: Minutes    時間: 2025-3-25 06:01
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
作者: bifurcate    時間: 2025-3-25 10:33
SpringerBriefs in Computer Sciencehttp://image.papertrans.cn/b/image/162153.jpg
作者: prosperity    時間: 2025-3-25 11:44

作者: 持續(xù)    時間: 2025-3-25 16:46
https://doi.org/10.1007/978-3-319-73788-1Cyber security; Cyber attribution; Cyber attacks; Artificial intelligence; Argumentation; Machine Learnin
作者: 壓碎    時間: 2025-3-25 23:26

作者: Immunoglobulin    時間: 2025-3-26 02:01

作者: 襲擊    時間: 2025-3-26 04:40

作者: Myofibrils    時間: 2025-3-26 12:15
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
作者: Scintigraphy    時間: 2025-3-26 13:55

作者: 輕率的你    時間: 2025-3-26 17:59
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
作者: 空氣    時間: 2025-3-26 22:09
Artificial Intelligence Tools for Cyber Attribution978-3-319-73788-1Series ISSN 2191-5768 Series E-ISSN 2191-5776
作者: persistence    時間: 2025-3-27 04:10

作者: 遍及    時間: 2025-3-27 07:04
https://doi.org/10.1007/978-1-349-13693-3Cyber attribution is the process by which the identity of an actor or aggressor in a cyberactivity is determined. Conducting this process presents several unique problems; chief among them are that the technical artifacts produced by cyberattacks are difficult to understand, and it is easy (and quite useful) for an actor to perform deception.
作者: INTER    時間: 2025-3-27 13:27

作者: 有節(jié)制    時間: 2025-3-27 14:42
Book 1999and efficiency of modern process analytical chemistry. The author is especially aiming at those professionals in small and medium enterprises who have to carry out process control tasks in a "solo-run".
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作者: BADGE    時間: 2025-3-28 00:51
Jean Carlos Santos,Wanessa Rejane de Almeida,Geraldo Wilson Fernandesed to metal complex equilibria (heats, entropies, and free energies). Since it was the policy of the Commission during that period to avoid decisions concerning the quality and reliability of the published work, the compilation would frequently contain from ten to twenty values for a single equilibrium consta978-1-4757-1570-5978-1-4757-1568-2
作者: 敘述    時間: 2025-3-28 03:32

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作者: PALMY    時間: 2025-3-28 13:06
Space-Time Processes and Geostatistics,ach to cloud cost management. From resource rightsizing and cost allocation models to automated guardrails and vendor management, each factor serves as a pillar to support your organization‘s financial goals...979-8-8688-0387-1979-8-8688-0388-8
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