A Format-Compliant Encryption for Secure HEVC Video Sharing in Multimedia Social Network

Author:

Long Min1,Peng Fei2,Gong Xiaoqing2

Affiliation:

1. School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha, China

2. School of Computer Science and Electronic Engineering, Hunan University, Changsha, China

Abstract

Aiming at secure video sharing in multimedia social network, a format-compliant encryption scheme for high efficiency video coding (HEVC) based on sigh data hiding (SDH) is proposed. The encryption is tightly integrated with the encoding/decoding processes. For each coding unit (CU), the sign of the nonzero coefficient and the first hiding nonzero coefficient are both encrypted with key stream. Meanwhile, one of merging index, motion vector prediction index, sign of motion vector difference and reference frame index is chosen for encryption according to a control factor. As it is explored in this article, experimental results and analysis indicate that it can effectively resist brute-force attack, difference attack and replacement attack. Also, it can keep a good balance in encryption space, computation complexity and security. Based on the encryption scheme, a framework of its implementation in multimedia social network is presented. It has great potential to be implemented for secure video sharing in multimedia social network.

Publisher

IGI Global

Subject

Software

Reference29 articles.

1. Digital Video Scrambling Method Using Intra Prediction Mode

2. Perceptual video encryption using multiple 8×8 transforms in H.264 and MPEG-4

3. The estream portfolio.;S.Babbage;L’Igiene Moderna,2008

4. Boesgaard, M., Vesterager, M., Christensen, T., & Zenner, E. (2009). The stream cipher rabbit.

5. Clare, G., Henry, F., & Jung, J. (2011). Sign data hiding, Joint Collaborative Team on Video Coding (JCT-VC) (Document JCTVC-G271).

Cited by 3 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

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