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Titlebook: Malware; Handbook of Preventi Dimitris Gritzalis,Kim-Kwang Raymond Choo,Constant Book 2025 The Editor(s) (if applicable) and The Author(s),

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书目名称Malware
副标题Handbook of Preventi
编辑Dimitris Gritzalis,Kim-Kwang Raymond Choo,Constant
视频video
概述Offers a comprehensive and systematic overview of modern methods in malware analysis using Machine Learning and AI.Provides innovative approaches to detecting malware and insight into the methods used
丛书名称Advances in Information Security
图书封面Titlebook: Malware; Handbook of Preventi Dimitris Gritzalis,Kim-Kwang Raymond Choo,Constant Book 2025 The Editor(s) (if applicable) and The Author(s),
描述.This book provides a holistic overview of current state of the art and practice in malware research as well as the challenges of malware research from multiple angles. It also provides step-by-step guides in various practical problems, such as unpacking real-world malware and dissecting it to collect and perform a forensic analysis. Similarly, it includes a guide on how to apply state-of-the-art Machine Learning methods to classify malware. Acknowledging that the latter is a serious trend in malware, one part of the book is devoted to providing the reader with the state-of-the-art in Machine Learning methods in malware classification, highlighting the different approaches that are used for, e.g., mobile malware samples and introducing the reader to the challenges that are faced when shifting from a lab to production environment...Modern malware is fueling a worldwide underground economy. The research for this book is backed by theoretical models that simulate how malware propagates and how the spread could be mitigated. The necessary mathematical foundations and probabilistic theoretical models are introduced, and practical results are demonstrated to showcase the efficacy of such
出版日期Book 2025
关键词Malware; malware analysis; malware detection; malware classification; packers; advance persistent threats
版次1
doihttps://doi.org/10.1007/978-3-031-66245-4
isbn_softcover978-3-031-66247-8
isbn_ebook978-3-031-66245-4Series ISSN 1568-2633 Series E-ISSN 2512-2193
issn_series 1568-2633
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

书目名称Malware影响因子(影响力)




书目名称Malware影响因子(影响力)学科排名




书目名称Malware网络公开度




书目名称Malware网络公开度学科排名




书目名称Malware被引频次




书目名称Malware被引频次学科排名




书目名称Malware年度引用




书目名称Malware年度引用学科排名




书目名称Malware读者反馈




书目名称Malware读者反馈学科排名




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Malware978-3-031-66245-4Series ISSN 1568-2633 Series E-ISSN 2512-2193
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1568-2633 pagates and how the spread could be mitigated. The necessary mathematical foundations and probabilistic theoretical models are introduced, and practical results are demonstrated to showcase the efficacy of such978-3-031-66247-8978-3-031-66245-4Series ISSN 1568-2633 Series E-ISSN 2512-2193
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Book 2025. The research for this book is backed by theoretical models that simulate how malware propagates and how the spread could be mitigated. The necessary mathematical foundations and probabilistic theoretical models are introduced, and practical results are demonstrated to showcase the efficacy of such
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1568-2633 aches to detecting malware and insight into the methods used.This book provides a holistic overview of current state of the art and practice in malware research as well as the challenges of malware research from multiple angles. It also provides step-by-step guides in various practical problems, suc
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https://doi.org/10.1007/978-981-16-2798-9nts. These advances improved the prognosis and survival of most cancers. However, patient care and public health systems are considerably different among countries, and these differences exist within countries. These systems, socioeconomic, genetic, and environmental factors can be explained differe
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