DocumentCode :
2177094
Title :
Analysis of Facebook steganographic capabilities
Author :
Amsden, Nathaniel D. ; Lei Chen
Author_Institution :
Dept. of Comput. Sci., Sam Houston State Univ., Huntsville, TX, USA
fYear :
2015
fDate :
16-19 Feb. 2015
Firstpage :
67
Lastpage :
71
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 :
discrete cosine transforms; firewalls; image coding; social networking (online); steganography; DCT coefficient embedding algorithms; Facebook cover photos; Facebook steganographic capabilities; firewall rules; massive information-sharing capabilities; network traffic analysis; Facebook; Image coding; Quantization (signal); Security; Telecommunication traffic; Transform coding; Videos; Facebook; Information Hiding; Social Media; Steganography;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing, Networking and Communications (ICNC), 2015 International Conference on
Conference_Location :
Garden Grove, CA
Type :
conf
DOI :
10.1109/ICCNC.2015.7069317
Filename :
7069317
Link To Document :
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