• 综合
  • 标题
  • 关键词
  • 摘要
  • 学者
  • 期刊-刊名
  • 期刊-ISSN
  • 会议名称
搜索

作者:

Mao, Niansheng (Mao, Niansheng.) | Zhuo, Li (Zhuo, Li.) | Zhang, Jing (Zhang, Jing.) | Li, Xiaoguang (Li, Xiaoguang.)

收录:

EI Scopus

摘要:

This paper presents a novel method for protecting H.264/AVC streaming. The issues on the compression domain video encryption have been pointed out and fully addressed. To optimize the tradeoff between security level and computational complexity, only the most significant bits for reconstructed video quality in H.264/AVC streaming are extracted and encrypted, including the codewords of intra-prediction mode, the low frequency DCT coefficient of intra-frames and motion vector difference (MVD). To keep the encrypted streaming format-compliance to the H.264/AVC standard decoder, the codewords of intra-prediction mode are encrypted with IPME, the sign bit of the codewords of DCT coefficient are encrypted and the info-suffix of the codewords of MVD are encrypted. Experimental results show that the proposed scheme exhibits significant computational efficiency and reliable security, can resist not only perceptual attacks but also brute-force attacks. Thus, the proposed scheme will be well suited for real-time and resource-limited systems. © 2012 GIRI.

关键词:

Computational efficiency Cryptography Image coding Image compression Motion Picture Experts Group standards Real time systems Regulatory compliance Video streaming

作者机构:

  • [ 1 ] [Mao, Niansheng]Signal and Information Processing Laboratory, Beijing University of Technology, China
  • [ 2 ] [Zhuo, Li]Signal and Information Processing Laboratory, Beijing University of Technology, China
  • [ 3 ] [Zhang, Jing]Signal and Information Processing Laboratory, Beijing University of Technology, China
  • [ 4 ] [Li, Xiaoguang]Signal and Information Processing Laboratory, Beijing University of Technology, China

通讯作者信息:

电子邮件地址:

查看成果更多字段

相关关键词:

相关文章:

来源 :

ISSN: 1738-9445

年份: 2012

页码: 425-429

语种: 英文

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次:

ESI高被引论文在榜: 0 展开所有

万方被引频次:

中文被引频次:

近30日浏览量: 2

归属院系:

在线人数/总访问数:338/2893378
地址:北京工业大学图书馆(北京市朝阳区平乐园100号 邮编:100124) 联系我们:010-67392185
版权所有:北京工业大学图书馆 站点建设与维护:北京爱琴海乐之技术有限公司