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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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發(fā)表于 2025-3-21 17:49:55 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Malware
副標題Handbook of Preventi
編輯Dimitris Gritzalis,Kim-Kwang Raymond Choo,Constant
視頻videohttp://file.papertrans.cn/643/642218/642218.mp4
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
叢書名稱Advances in Information Security
圖書封面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
關鍵詞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

書目名稱Malware影響因子(影響力)




書目名稱Malware影響因子(影響力)學科排名




書目名稱Malware網(wǎng)絡公開度




書目名稱Malware網(wǎng)絡公開度學科排名




書目名稱Malware被引頻次




書目名稱Malware被引頻次學科排名




書目名稱Malware年度引用




書目名稱Malware年度引用學科排名




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書目名稱Malware讀者反饋學科排名




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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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