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 |  |
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 |
doi | https://doi.org/10.1007/978-3-031-66245-4 |
isbn_softcover | 978-3-031-66247-8 |
isbn_ebook | 978-3-031-66245-4Series ISSN 1568-2633 Series E-ISSN 2512-2193 |
issn_series | 1568-2633 |
copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |