research-article

A Steganalytic Algorithm to Detect DCT-based Data Hiding Methods for H.264/AVC Videos

Authors:

Meineng ZhuAuthors Info & Claims

IH&MMSec '17: Proceedings of the 5th ACM Workshop on Information Hiding and Multimedia Security

Pages 123 - 133

https://doi.org/10.1145/3082031.3083245

Published: 20 June 2017 Publication History

Abstract

This paper presents an effective steganalytic algorithm to detect Discrete Cosine Transform (DCT) based data hiding methods for H.264/AVC videos. These methods hide covert information into compressed video streams by manipulating quantized DCT coefficients, and usually achieve high payload and low computational complexity, which is suitable for applications with hard real-time requirements. In contrast to considerable literature grown up in JPEG domain steganalysis, so far there is few work found against DCT-based methods for compressed videos. In this paper, the embedding impacts on both spatial and temporal correlations are carefully analyzed, based on which two feature sets are designed for steganalysis. The first feature set is engineered as the histograms of noise residuals from the decompressed frames using 16 DCT kernels, in which a quantity measuring residual distortion is accumulated. The second feature set is designed as the residual histograms from the similar blocks linked by motion vectors between inter-frames. The experimental results have demonstrated that our method can effectively distinguish stego videos undergone DCT manipulations from clean ones, especially for those of high qualities.

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Cited By

Yang LWang RXu DDong LHe S(2024)Centralized Error Distribution-Preserving Adaptive Steganography for HEVCIEEE Transactions on Multimedia10.1109/TMM.2023.332149626(4255-4270)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1109/TMM.2023.3321496
Fan PZhang HZhao X(2023)Exploring Frame Difference to Enhance Robustness for Video Steganography on Social NetworksSecurity and Communication Networks10.1155/2023/62954862023(1-11)Online publication date: 16-Aug-2023
https://doi.org/10.1155/2023/6295486
Fan PZhang HZhao X(2022)Robust video steganography for social media sharing based on principal component analysisEURASIP Journal on Information Security10.1186/s13635-022-00130-z2022:1Online publication date: 20-Jun-2022
https://doi.org/10.1186/s13635-022-00130-z
Show More Cited By

Index Terms

A Steganalytic Algorithm to Detect DCT-based Data Hiding Methods for H.264/AVC Videos
1. Information systems
  1. Information systems applications
    1. Multimedia information systems
      1. Multimedia streaming
2. Security and privacy
  1. Security services
    1. Digital rights management
  2. Software and application security

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Information & Contributors

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Published In

cover image ACM Conferences

IH&MMSec '17: Proceedings of the 5th ACM Workshop on Information Hiding and Multimedia Security

June 2017

180 pages

ISBN:9781450350617

DOI:10.1145/3082031

General Chair:
Matthew C. Stamm
Drexel University, USA
,
Program Chairs:
Matthias Kirchner
SUNY Binghamton, USA
,
Sviatoslav Voloshynovskiy
University of Geneva, Switzerland

Copyright © 2017 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGMM: ACM Special Interest Group on Multimedia

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 20 June 2017

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Funding Sources

National Key Technology R&D Program
NSFC

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IH&MMSec '17

Sponsor:

SIGMM

IH&MMSec '17: ACM Information Hiding and Multimedia Security Workshop

June 20 - 22, 2017

Pennsylvania, Philadelphia, USA

Acceptance Rates

IH&MMSec '17 Paper Acceptance Rate 18 of 34 submissions, 53%;

Overall Acceptance Rate 128 of 318 submissions, 40%

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Cited By

Yang LWang RXu DDong LHe S(2024)Centralized Error Distribution-Preserving Adaptive Steganography for HEVCIEEE Transactions on Multimedia10.1109/TMM.2023.332149626(4255-4270)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1109/TMM.2023.3321496
Fan PZhang HZhao X(2023)Exploring Frame Difference to Enhance Robustness for Video Steganography on Social NetworksSecurity and Communication Networks10.1155/2023/62954862023(1-11)Online publication date: 16-Aug-2023
https://doi.org/10.1155/2023/6295486
Fan PZhang HZhao X(2022)Robust video steganography for social media sharing based on principal component analysisEURASIP Journal on Information Security10.1186/s13635-022-00130-z2022:1Online publication date: 20-Jun-2022
https://doi.org/10.1186/s13635-022-00130-z
Fan PZhang HZhao X(2022)Adaptive QIM With Minimum Embedding Cost for Robust Video Steganography on Social NetworksIEEE Transactions on Information Forensics and Security10.1109/TIFS.2022.321590117(3801-3815)Online publication date: 2022
https://doi.org/10.1109/TIFS.2022.3215901
Chen YSalcic ZWang HChoo KZhang X(2022)NACA: A Joint Distortion-Based Non-Additive Cost Assignment Method for Video SteganographyIEEE Transactions on Dependable and Secure Computing10.1109/TDSC.2022.3182148(1-16)Online publication date: 2022
https://doi.org/10.1109/TDSC.2022.3182148
Chen YWang HChoo KHe PSalcic ZKaafar DZhang X(2022)DDCA: A Distortion Drift-Based Cost Assignment Method for Adaptive Video Steganography in the Transform DomainIEEE Transactions on Dependable and Secure Computing10.1109/TDSC.2021.305813419:4(2405-2420)Online publication date: 1-Jul-2022
https://doi.org/10.1109/TDSC.2021.3058134
Dalal MJuneja M(2022)Steganalysis of DWT Based Steganography Technique for SD and HD VideosWireless Personal Communications10.1007/s11277-022-10050-3128:4(2441-2452)Online publication date: 3-Oct-2022
https://doi.org/10.1007/s11277-022-10050-3
Cao YZhang HZhao XHe X(2021)Steganalysis of H.264/AVC Videos Exploiting Subtractive Prediction Error BlocksIEEE Transactions on Information Forensics and Security10.1109/TIFS.2021.307882216(3326-3338)Online publication date: 2021
https://doi.org/10.1109/TIFS.2021.3078822
Wang YCao YZhao X(2021)Minimizing Embedding Impact for H.264 Steganography by Progressive Trellis CodingIEEE Transactions on Information Forensics and Security10.1109/TIFS.2020.301352316(333-345)Online publication date: 2021
https://doi.org/10.1109/TIFS.2020.3013523
Liu SLiu BHu YZhao X(2021)Non-Degraded Adaptive HEVC Steganography by Advanced Motion Vector PredictionIEEE Signal Processing Letters10.1109/LSP.2021.311156528(1843-1847)Online publication date: 2021
https://doi.org/10.1109/LSP.2021.3111565
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