Methods for Information Hiding in Open Social Networks

Jędrzej Bieniasz , Krzysztof Szczypiorski


This paper summarizes research on methods for information hiding in Open Social Networks. The first contribution is the idea of StegHash, which is based on the use of hashtags in various open social networks to connect multimedia files (such as images, movies, songs) with embedded hidden data. The proof of concept was implemented and tested using a few social media services. The experiments confirmed the initial idea. Next, SocialStegDisc was designed as an application of the StegHash method by combining it with the theory of filesystems. SocialStegDisc provides the basic set of operations for files, such as creation, reading or deletion, by implementing the mechanism of a linked list. It establishes a new kind of mass-storage characterized by unlimited data space, but limited address space where the limitation is the number of the hashtags' unique permutations. The operations of the original StegHash method were optimized by trade-offs between the memory requirements and computation time. Features and limitations were identified and discussed. The proposed system broadens research on a completely new area of threats in social networks.
Author Jędrzej Bieniasz (FEIT / IT)
Jędrzej Bieniasz,,
- The Institute of Telecommunications
, Krzysztof Szczypiorski (FEIT / IT)
Krzysztof Szczypiorski,,
- The Institute of Telecommunications
Journal seriesJournal of Universal Computer Science, ISSN 0948-695X, (N/A 40 pkt)
Issue year2019
Publication size in sheets0.5
Keywords in EnglishSocialStegDisc, StegHash, filesystem, hashtag, information hiding, open social networks
ASJC Classification1700 General Computer Science; 2614 Theoretical Computer Science
ProjectAdvanced Digital Forensics Lab. Project leader: Szczypiorski Krzysztof, , Phone: +48 22 234 7330 (sektetariat), +48 22 234 7745, start date 01-09-2017, planned end date 30-09-2019, IT/2017/badawczy/50, Implemented
WEiTI Projects financed by NCRD [Projekty finansowane przez NCBiR (NCBR)]
Languageen angielski
2019 Bieniasz Szczypiorski Methods for Information Hiding in Open Social.pdf 1.25 MB
Score (nominal)40
Score sourcejournalList
ScoreMinisterial score = 40.0, 16-01-2020, ArticleFromJournal
Publication indicators WoS Citations = 0; Scopus SNIP (Source Normalised Impact per Paper): 2018 = 0.972; WoS Impact Factor: 2018 = 0.91 (2) - 2018=0.885 (5)
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