| 書目名稱 | Machine Learning for Authorship Attribution and Cyber Forensics |
| 編輯 | Farkhund Iqbal,Mourad Debbabi,Benjamin C. M. Fung |
| 視頻video | http://file.papertrans.cn/621/620587/620587.mp4 |
| 概述 | Unified approach to investigate digital crimes and identify suspects together with their collaborators and facilitators.Customized data mining and machine learning methods for investigating cyber-atta |
| 叢書名稱 | International Series on Computer, Entertainment and Media Technology |
| 圖書封面 |  |
| 描述 | .The book first explores the cybersecurity’s landscape and the inherent susceptibility of online communication system such as e-mail, chat conversation and social media in cybercrimes. Common sources and resources of digital crimes, their causes and effects together with the emerging threats for society are illustrated in this book. This book not only explores the growing needs of cybersecurity and digital forensics but also investigates relevant technologies and methods to meet the said needs. Knowledge discovery, machine learning and data analytics are explored for collecting cyber-intelligence and forensics evidence on cybercrimes..Online communication documents, which are the main source of cybercrimes are investigated from two perspectives: the crime and the criminal. AI and machine learning methods are applied to detect illegal and criminal activities such as bot distribution, drug trafficking and child pornography. Authorship analysis is applied to identify the potentialsuspects and their social linguistics characteristics. Deep learning together with frequent pattern mining and link mining techniques are applied to trace the potential collaborators of the identified crimina |
| 出版日期 | Book 2020 |
| 關鍵詞 | Cybercrime; Forensic investigation; Cyber forensics; Crime investigation; Data mining; Classification; Clu |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-61675-5 |
| isbn_softcover | 978-3-030-61677-9 |
| isbn_ebook | 978-3-030-61675-5Series ISSN 2364-947X Series E-ISSN 2364-9488 |
| issn_series | 2364-947X |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
|Archiver|手機版|小黑屋|
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