| 书目名称 | Open Source Intelligence and Cyber Crime |
| 副标题 | Social Media Analyti |
| 编辑 | Mohammad A. Tayebi,Uwe Glässer,David B. Skillicorn |
| 视频video | |
| 概述 | Includes research results with important implications for law enforcement agencies and intelligence services.Provides graduate students with the fundamental research problems of the social media and o |
| 丛书名称 | Lecture Notes in Social Networks |
| 图书封面 |  |
| 描述 | .This book shows how open source intelligence can be a powerful tool for combating crime by linking local and global patterns to help understand how criminal activities are connected. Readers will encounter the latest advances in cutting-edge data mining, machine learning and predictive analytics combined with natural language processing and social network analysis to detect, disrupt, and neutralize cyber and physical threats. Chapters contain state-of-the-art social media analytics and open source intelligence research trends. This multidisciplinary volume will appeal to students, researchers, and professionals working in the fields of open source intelligence, cyber crime and social network analytics... Chapter Automated Text Analysis for Intelligence Purposes: A Psychological Operations Case Study is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.. |
| 出版日期 | Book 2020 |
| 关键词 | Social media intelligence; Open source intelligence; Security informatics; Threat intelligence; Social c |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-41251-7 |
| isbn_softcover | 978-3-030-41253-1 |
| isbn_ebook | 978-3-030-41251-7Series ISSN 2190-5428 Series E-ISSN 2190-5436 |
| issn_series | 2190-5428 |
| copyright | Springer Nature Switzerland AG 2020 |
发表于 2025-3-21 18:53:48
