基于无线体域网(Wireless Body Area Network, WBAN)实现的医疗信息传输系统,面临数据来源鉴别、节点合法性认证、数据机密性和数据完整性鉴别等安全问题,而且无线传感器节点本身的计算、存储等资源有限。文章基于零知识证明和零水印技...基于无线体域网(Wireless Body Area Network, WBAN)实现的医疗信息传输系统,面临数据来源鉴别、节点合法性认证、数据机密性和数据完整性鉴别等安全问题,而且无线传感器节点本身的计算、存储等资源有限。文章基于零知识证明和零水印技术,结合AES加密算法,提出一种适合WBAN环境的安全的医疗信息系统设计方案,并在基于Nes C语言的MicaZ节点上实现。理论证明和实验结果均表明,文章方案可以高效安全地解决WBAN面临的问题,适用于在实际WBAN环境中安全地传输、管理医疗信息。展开更多
Zero-watermark technique,embedding watermark without modifying carriers,has been broadly applied for copyright protection of images.However,there is little research on audio zerowatermark.This paper proposes an audio ...Zero-watermark technique,embedding watermark without modifying carriers,has been broadly applied for copyright protection of images.However,there is little research on audio zerowatermark.This paper proposes an audio zero-watermark scheme based on energy relationship between adjacent audio sections.Taking use of discrete wavelet transformation(DWT),it gets power approximations,or energies,of audio segments.Then,it extracts the audio profile,i.e.the zero-watermark,according to the relative size of energies of consecutive fragments.The experimental results demonstrate that the proposed scheme is robust against general malicious attacks including noise addition,resampling,low-pass filtering,etc.,and this approach effectively solves the contradiction between inaudibility and robustness.展开更多
文摘基于无线体域网(Wireless Body Area Network, WBAN)实现的医疗信息传输系统,面临数据来源鉴别、节点合法性认证、数据机密性和数据完整性鉴别等安全问题,而且无线传感器节点本身的计算、存储等资源有限。文章基于零知识证明和零水印技术,结合AES加密算法,提出一种适合WBAN环境的安全的医疗信息系统设计方案,并在基于Nes C语言的MicaZ节点上实现。理论证明和实验结果均表明,文章方案可以高效安全地解决WBAN面临的问题,适用于在实际WBAN环境中安全地传输、管理医疗信息。
基金This work is supported by the National Natural Science Foundation of China under Grant No. 61170269, No. 61170272, No. 61202082, Beijing Natural Science Foundation under Grant No. 4122026, the Fundamental Research Funds for the Central Universities under Grant No. BUPT2013RC0308, No. BUPT2013RC0311, and Scientific Research Common Program of Beijing Municipal Commission of Education under Grant No. KM201210015007, KM201210015006.
文摘Zero-watermark technique,embedding watermark without modifying carriers,has been broadly applied for copyright protection of images.However,there is little research on audio zerowatermark.This paper proposes an audio zero-watermark scheme based on energy relationship between adjacent audio sections.Taking use of discrete wavelet transformation(DWT),it gets power approximations,or energies,of audio segments.Then,it extracts the audio profile,i.e.the zero-watermark,according to the relative size of energies of consecutive fragments.The experimental results demonstrate that the proposed scheme is robust against general malicious attacks including noise addition,resampling,low-pass filtering,etc.,and this approach effectively solves the contradiction between inaudibility and robustness.
