文章基本信息

标题：Authentication of Topographic EEG: Employing Transform Based Watermarking
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作者：Rafi Ullah ; Hani Ali Alquhayz
期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2017
卷号：17
期号：3
页码：43-54
出版社：International Journal of Computer Science and Network Security
摘要：With the use of advanced communication systems, attackers can easily tamper with data without being detected. In this paper, the wavelet-based watermarking method has been used to ensure the secure transformation of topographic EEG data. Unlike other more conventional approaches, a blind semi-fragile watermark is embedded in the estimated motions of topographic EEG. Instead of using conventional block-based approaches, this approach concisely determines the altered areas. An efficient trade-off has been achieved in the three most common conflicting properties of watermarking: payload, distortion rate, and robustness. The proposed approach is able to survive legitimate manipulations such as JPEG compression. The simulation results demonstrate the performance of our algorithm.
关键词：EEG topo-maps; brain; motion vectors; block-based motion estimation (BMA); watermark.