Abstract
The development of video steganography has put forward a higher demand for video steganalysis. This paper presents a novel steganalysis against discrete cosine/sine transform (DCT/DST)-based steganography for high efficiency video coding (HEVC) videos. The new steganalysis employs special frames extraction (SFE) and accordion unfolding (AU) transformation to target the latest DCT/DST domain HEVC video steganography algorithms by merging temporal and spatial correlation. In this article, the distortion process of DCT/DST-based HEVC steganography is firstly analyzed. Then, based on the analysis, two kinds of distortion, the intra-frame distortion and the inter-frame distortion, are mainly caused by DCT/DST-based steganography. Finally, to effectively detect these distortions, an innovative method of HEVC steganalysis is proposed, which gives a combination feature of SFE and a temporal to spatial transformation, AU. The experiment results show that the proposed steganalysis performs better than other methods.
Highlights
Modern steganography is an art and science of covert communication
This paper presents a novel steganalysis against discrete cosine/sine transform (DCT/DST)-based steganography for high efficiency video coding (HEVC) videos
This paper focuses on DCT/DST domain steganalysis
Summary
Modern steganography is an art and science of covert communication. It is a technology that protect the secret data from discovered or theft (Mishra et al, 2015). Rabee et al (2017) presented a blind JPEG steganalysis based on DCT coefficients differneces, and Wang et al (2017) proposed a steganalysis to detect DCT-based data hiding methods for H.264/AVC videos Both of them are not specialized in detecting DCT/DST domain steganography algorithms for HEVC videos. From another aspect, many steganalysis methods developed by exploiting the spatial or temporal correlation in video stream have been proposed. Tasdemir et al (2015) proposed a HEVC steganalysis system utilizing temporal pixel correlation of videos It employed Accordion Unfolding (AU) transformation and detected pixel domain image steganography algorithms used on video frames.
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Digital Crime and Forensics
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
