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Titlebook: Versatile Cybersecurity; Mauro Conti,Gaurav Somani,Radha Poovendran Book 2018 Springer Nature Switzerland AG 2018 Security.Privacy.Cyber P

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發(fā)表于 2025-3-21 19:00:00 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Versatile Cybersecurity
編輯Mauro Conti,Gaurav Somani,Radha Poovendran
視頻videohttp://file.papertrans.cn/983/982077/982077.mp4
概述Provides focused content related to specific attacks or attack families irrespective of the attack target or victim application.Includes relevant open research directions at the end of each chapter.Ta
叢書(shū)名稱Advances in Information Security
圖書(shū)封面Titlebook: Versatile Cybersecurity;  Mauro Conti,Gaurav Somani,Radha Poovendran Book 2018 Springer Nature Switzerland AG 2018 Security.Privacy.Cyber P
描述.Cyber security research is one of the important areas in the computer science domain which also plays?a major role in the life of almost every individual, enterprise, society and country, which this book?illustrates. A large number of advanced security books focus on either cryptography or?system security which covers both information and network security.?However, there is hardly any books available for advanced-level students and?research scholars in security research to systematically study how the?major attacks are studied, modeled, planned and combated by the?community. This book aims to fill this gap..?This book provides focused content related to specific attacks or attack families.?These dedicated discussions in the form of individual chapters covers the?application or area specific aspects, while discussing ?the placement?of defense solutions to combat the attacks. It includes eight high quality?chaptersfrom established security research groups worldwide, ?which?address important attacks from theoretical (modeling) as well as practical?aspects..?Each chapter brings ?together comprehensive and structured information on an attack or an attack?family. The authors present cri
出版日期Book 2018
關(guān)鍵詞Security; Privacy; Cyber Physical System Security; Social Engineering; Botnets; Software Defined Networki
版次1
doihttps://doi.org/10.1007/978-3-319-97643-3
isbn_ebook978-3-319-97643-3Series ISSN 1568-2633 Series E-ISSN 2512-2193
issn_series 1568-2633
copyrightSpringer Nature Switzerland AG 2018
The information of publication is updating

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s an impact on the performance of applications..Currently there is no framework for evaluating different design choices and for obtaining insights about the design choices made in a particular implementation of IBA. In this paper we address these issues by proposing a new micro-benchmark suite (MIBA
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Giovanni Di Crescenzovide a richer vocabulary for communicating transformation plans either to man or machine. One of the more useful of these tactics is one that enables implementations for abstract data types to be synthesised automatically. In this paper we consider this transformation process in some detail and use
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Insider Threat Detection: Machine Learning Way,ur. It concludes discussing future directions that uses combination of methods from natural language processing, behavioural analysis, sentiment analysis, and machine learning for insider threat detection.
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