Extracting Cyber Threat Intelligence from Social Media with Case Studies in Twitter/X and Reddit

Dainora Jakstaite, Ricardo M. Czekster

Research output: Chapter in Book/Published conference outputConference publication

Abstract

A substantial amount of Internet traffic pertains to social media. This virtual way of interacting among peers, friends and audiences has contributed to help users test arguments and advertise statuses whilst helping organisations reaching out prospective clients. Given its global outreach, social media users produce a massive amount of daily data that are publicly available (depending on T&C). This brings interesting challenges in Cyber Threat Intelligence (CTI) as it can employ social media datasets to investigate impending cyber-attacks or latest malicious incursions on victims. Our contributions are two-fold, firstly, it outlines how to extract CTI in a timely fashion as well as the considerations and trade-offs for cyber security officers with case studies in Twitter/X and Reddit. Secondly, it proposes a trustability metric for determining reputable accounts to prioritise subsequent analysis efforts.
Original languageEnglish
Title of host publicationFrom Data to Models and Back
Subtitle of host publication11th International Symposium, DataMod 2023, Eindhoven, The Netherlands, November 6–7, 2023, Revised Selected Papers
EditorsGiovanna Broccia, Antonio Cerone
Pages46-65
Number of pages20
ISBN (Electronic)9783031872174
DOIs
Publication statusPublished - 15 Apr 2025

Publication series

NameLecture Notes in Computer Science (LNCS)
Volume14618

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