Metoder för inhämtning av militär underrättelse via sociala medier

Detta är en Kandidat-uppsats från Högskolan i Halmstad/Akademin för informationsteknologi

Sammanfattning: OSINT is the collection and analysis of data from open sources such as Twitter, Instagram or Tiktok. Since most people in today's digitised society have access to mobile devices and cameras, anyone can publish sensitive material on for example troop movements. The aim of this work is to contribute on how OSINT methods can potentially be used for intelligence gathering and by increasing knowledge in this area also protect against the problem of people sharing sensitive information by mistake. This is accomplished by conducting an experiment in which three web scraping methods and three manual methods are used for the collection of potential intelligence on three different social media platforms. Due to the state of the world today, the experiment focuses on the Ukraine conflict. All methods tested during the experiment can be used for intelligence gathering. However, the methods differ in their search capabilities and how well they can filter the results of its searches. Overall, the TWINT tool and manual searches of Twitter performed best because they have the most search options and filtering capabilities.

  HÄR KAN DU HÄMTA UPPSATSEN I FULLTEXT. (följ länken till nästa sida)