From Theory to Practice: Towards an OSINT Framework to Mitigate Arabic Social Cyber Attacks

Abstract

Ongoing research indicates the types of issues that need to be considered by a social cybersecurity researcher or practitioner. This study investigates the existing research on social cyber security on Arabic social media. It suggests the need to consider socio-political issues when presenting computational social media studies. We investigate the scope of social cyberattacks in Arabic. We show the need for new open-source intelligence (OSINT) framework to identify disinformation, bots, trolls, cyborgs, and memes. Recent studies have found that such attacks are spreading in 25 different languages including Arabic; some of these have caused injury and even death. We provide a comprehensive requirement analysis for developing open-source intelligence systems to detect social cyberattacks in Arabic. We show that while there are many OSINT Systems (OSINTs) to mitigate such attacks in English, systems needed to mitigate such attacks in other languages such as Arabic are still limited.