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.
| ISBN: | 9783030412531 |
| Publication date: | 2nd August 2021 |
| Author: | Mohammad A Tayebi |
| Publisher: | Springer Nature Switzerland AG |
| Format: | Paperback |
| Pagination: | 251 pages |
| Series: | Lecture Notes in Social Networks |
| Genres: |
Computer security Machine learning Network security Social research and statistics Ecological science, the Biosphere Crime and criminology Computer crime, cybercrime Data mining Expert systems / knowledge-based systems |