募捐 9月15日2024 – 10月1日2024 关于筹款

Open Source Intelligence and Cyber Crime: Social Media...

Open Source Intelligence and Cyber Crime: Social Media Analytics

Mohammad A. Tayebi, Uwe Glässer, David B. Skillicorn
0 / 5.0
0 comments
你有多喜欢这本书?
下载文件的质量如何?
下载该书,以评价其质量
下载文件的质量如何?

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.

种类:
年:
2020
出版:
1st ed.
出版社:
Springer International Publishing;Springer
语言:
english
ISBN 10:
3030412512
ISBN 13:
9783030412517
系列:
Lecture Notes in Social Networks
文件:
PDF, 6.77 MB
IPFS:
CID , CID Blake2b
english, 2020
线上阅读
正在转换
转换为 失败

关键词