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Contribution to Book
Analysis of Facebook Steganographic Capabilities
Proceedings of the International Conference on Computing, Networking, and Communications (2015)
  • Lei Chen, Georgia Southern University
  • Nathaniel D. Amsden, Sam Houston State University
Abstract
The massive information-sharing capabilities and global reach of Facebook are of great interest to organizations of all types, including those with malicious and/or illegal intents. Our main findings in this research include the following. Steganography can be employed to send covert information via Facebook photos and potentially videos as well. Facebook Cover Photos can effectively utilize steganography, of at least 15.75% capacity using DCT coefficient embedding algorithms. Network traffic analysis determined no distinguishable differences between network traffic patterns of normal images and cover photos as they were uploaded to the Facebook servers. Firewall rules can be written to block all image uploads to Facebook.
Keywords
  • Steganography,
  • Facebook,
  • Information hiding,
  • Social media
Publication Date
February 16, 2015
Publisher
IEEE
ISBN
978-1-4799-6959-3
DOI
10.1109/ICCNC.2015.7069317
Citation Information
Lei Chen and Nathaniel D. Amsden. "Analysis of Facebook Steganographic Capabilities" Garden Grove, CAProceedings of the International Conference on Computing, Networking, and Communications (2015) p. 67 - 71
Available at: http://works.bepress.com/lei-chen/56/