Open Source Intelligence and Cyber Crime: Social Media Analytics
暫譯: 開源情報與網路犯罪:社交媒體分析
Tayebi, Mohammad A., Glässer, Uwe, Skillicorn, David B.
- 出版商: Springer
- 出版日期: 2021-08-02
- 售價: $3,750
- 貴賓價: 9.5 折 $3,563
- 語言: 英文
- 頁數: 251
- 裝訂: Quality Paper - also called trade paper
- ISBN: 3030412539
- ISBN-13: 9783030412531
海外代購書籍(需單獨結帳)
商品描述
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.
商品描述(中文翻譯)
這本書展示了開源情報如何成為打擊犯罪的強大工具,通過連結地方和全球的模式來幫助理解犯罪活動之間的聯繫。讀者將接觸到最新的尖端數據挖掘、機器學習和預測分析的進展,這些技術結合了自然語言處理和社交網絡分析,以檢測、干擾和中和網絡及實體威脅。各章節包含最先進的社交媒體分析和開源情報研究趨勢。這本跨學科的著作將吸引在開源情報、網絡犯罪和社交網絡分析領域工作的學生、研究人員和專業人士。
章節《用於情報目的的自動文本分析:心理作戰案例研究》可在 link.springer.com 上以創用CC 4.0 國際授權的方式開放訪問。