Overview

Many people use social media platforms to share information with specific groups of users, but this information is often publicly available and can be used in unexpected ways. Twitter is a particularly rich source of Open-Source Intelligence (OSINT), making it a valuable Cyber Threat Intelligence (CTI) environment for cybersecurity practitioners. CTI includes information about cyber events such as vulnerabilities, attacks, and malware. Twitter’s popularity across all age groups and its bot-friendly API make it easy to collect data on hashtags, posts, statuses, timelines, followers, following data, and bios.

In today’s world, access to cyber-related information is essential for both individuals and organizations. Cybersecurity communities and organizations rely on this information to stay up-to-date and protected. Our research project proposes a novel approach to identifying new sources of CTI information in the Twitter social network. This approach involves applying community detection techniques of Social Network Analysis and relevant metrics to uncover valuable information.

Current Team:

Avishek Bose (KDD)
Shreya Gopal Sundari
PIs: Dr.Vahid Behzadan, Prof William Hsu

Affiliated Research Group:

Knowledge Discovery in Databases lab (KDD – Kansas State University)

Tools and Datasets:

N/A – In the future

Publications:

N/A – In the future