StegHash: New Method for Information Hiding in Open Social Networks

Author:

Szczypiorski Krzysztof

Abstract

Abstract In this paper a new method for information hiding in open social networks is introduced. The method, called StegHash, is based on the use of hashtags in various open social networks to connect multimedia files (like images, movies, songs) with embedded hidden messages. The evaluation of the system was performed on two social media services (Twitter and Instagram) with a simple environment as a proof of concept. The experiments proved that the initial idea was correct, thus the proposed system could create a completely new area of threats in social networks.

Publisher

Walter de Gruyter GmbH

Reference3 articles.

1. Perfect undetectability of network steganography Security and Communications Network Volume Issue;Frączek;October,2016

2. StegIbiza : a New Method for Information Hiding in Club Music Proceedings of the nd International Conference on Frontiers of Signal Processing Warsaw Poland;Szczypiorski;October,2016

3. and A Practical and Effective Approach to Large - Scale Automated Linguistic Steganography Proceedings of the Information Security Conference;Chapman;October,2001

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Are Social Networks Watermarking Us or Are We (Unawarely) Watermarking Ourself?;Journal of Imaging;2022-05-10

2. StegFog: Distributed Steganography Applied to Cyber Resiliency in Multi Node Environments;IEEE Access;2022

3. Text steganography in webometrics;International Journal of Information Technology;2021-01-03

4. Advances in Text Steganography Theory and Research;Multidisciplinary Approach to Modern Digital Steganography;2021

5. BentSign: keyed hash algorithm based on bent Boolean function and chaotic attractor;Bulletin of the Polish Academy of Sciences Technical Sciences;2019-06-28

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3