Open source intelligence

Author:

Böhm Isabelle,Lolagar SamuelORCID

Abstract

AbstractOpen Source Intelligence (OSINT) has gained importance in more fields of application than just in intelligence agencies. This paper provides an overview of the fundamental methods used to conduct OSINT investigations and presents different use cases where OSINT techniques are applied. Different models of the information cycle applied to OSINT are addressed. Additionally, the terms data, information, and intelligence are explained and correlated with the intelligence cycle. A classification system for entities during OSINT investigations is introduced. By presenting the capabilities of modern search engines, techniques for research within social networks and for penetration tests, the fundamental methods used for information gathering are explained. Furthermore, possible countermeasures to protect one’s privacy against the misuse of openly available information as well as the legal environment in Germany, and the ethical perspective are discussed.

Funder

Hochschule Albstadt-Sigmaringen

Publisher

Springer Fachmedien Wiesbaden GmbH

Subject

Anesthesiology and Pain Medicine

Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. On the Application of Natural Language Processing for Advanced OSINT Analysis in Cyber Defence;Proceedings of the 19th International Conference on Availability, Reliability and Security;2024-07-30

2. Using the case method for teaching information security students in open source intelligence;Informatics and education;2024-06-21

3. Application Analysis of Generative Artificial Intelligence in The field of Open Source Intelligence;2024 39th Youth Academic Annual Conference of Chinese Association of Automation (YAC);2024-06-07

4. On the issue of obtaining operationally significant information from open sources of information on the Internet;Legal Science and Practice: Journal of Nizhny Novgorod Academy of the Ministry of Internal Affairs of Russia;2024-03-28

5. Enhanced Audio-Based Open-Source Intelligence Insights using Machine Learning;International Journal of Scientific Research in Computer Science, Engineering and Information Technology;2024-01-15

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