scholarly journals Enabling Open Source Intelligence (OSINT) in private social networks

Author(s):  
Benjamin Robert Holland
Author(s):  
Isabelle Böhm ◽  
Samuel Lolagar

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.


2021 ◽  
Author(s):  
Francisco José Cesteros García

Social Networks has changed the way of developing an investigation as far as people use to explain, graph, show and give details about their life. It is so because people need to communicate and need to share feelings and passionate life. Based on these facts, private investigation uses the information in public databases to make an approach to people, their facts and their details that they publically expose to the rest of the world. So, this chapter explains how to use the OSINT (Open Source INTelligence) methodology for legally become part of the steps on a private investigation. The information is growing up and people expose their images, comment and reference to other ones so it facilities the investigation of getting results. Actually OSINT is the first step that private investigation must consider and this chapter covers and explains why and how to do this.


2021 ◽  
Vol n° 1 (1) ◽  
pp. 8-12
Author(s):  
Olivier Le Deuff ◽  
Rayya Roumanos

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