Detecting Cyber-Adversarial Videos in Traditional Social media

Bingyan Du, Pranay Singhal, Victor Benjamin, Weifeng Li

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Cyber-threat intelligence (CTI) has matured and grown into its own industry within recent years. Many CTI efforts involve scrutinizing text-based conversations in DarkNet forums and markets. However, hackers commonly share knowledge and other information through video formats that have been largely ignored. Further, cybercriminals are increasingly making use of mainstream social media to transmit hacking knowledge and assets, but this has gone unexplored in literature. In this research-in-progress, a video classifier to detect cybercriminal content in mainstream social media is designed and implemented. A collection of hacking and non-hacking videos was retrieved from a popular social media website to serve as a testbed. Feature sets included video metadata as well as features engineered from the videos themselves, including object detection and aesthetic qualities. This study demonstrates a methodological proof-of-concept that can enable future research that further investigates cyber-adversarial video contents, which have remained largely unexplored to this day. This study also contributes to literature regarding cyber-adversarial contents in mainstream social media.

Original languageEnglish (US)
Title of host publicationProceedings - 2020 IEEE International Conference on Intelligence and Security Informatics, ISI 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728188003
DOIs
StatePublished - Nov 9 2020
Event18th IEEE International Conference on Intelligence and Security Informatics, ISI 2020 - Virtual, Arlington, United States
Duration: Nov 9 2020Nov 10 2020

Publication series

NameProceedings - 2020 IEEE International Conference on Intelligence and Security Informatics, ISI 2020

Conference

Conference18th IEEE International Conference on Intelligence and Security Informatics, ISI 2020
CountryUnited States
CityVirtual, Arlington
Period11/9/2011/10/20

Keywords

  • Cybersecurity
  • DarkNet
  • Video Analytics

ASJC Scopus subject areas

  • Information Systems and Management
  • Safety, Risk, Reliability and Quality
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Information Systems

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