Leveraging SOCMINT: Extrapolating Cyber Threat Intelligence from Russia-Ukraine Conflict

Leveraging SOCMINT: Extrapolating Cyber Threat Intelligence from Russia-Ukraine Conflict

연구 분야: Safety

학회: Journal of Computing Sciences in Colleges, Volume 38, Issue 3

The paper aims to derive Cyber Threat Intelligence (CTI) from the Russia-Ukraine conflict with the help of Social Media Intelligence (SOCMINT), a framework that emanates reasoning from voluntarily available public information---using open-source tools and APIs, datasets created is assessed through topic modeling, thematic analysis (word cloud), Logit function, and neural network classification. The topic modeling and word cloud failed to provide consequential intelligence due to weak datasets - censorship and integrity remain big concerns. Logit function supplied statistically significant features that were influential in the outcome of the tweets, and MLP, a neural network classifier, yielded 91% accuracy when identifying tweet alliances (Russia or Ukraine).