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Real-Time Watermarking Techniques for Sensor Networks

机译:传感器网络的实时水印技术

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摘要

Wireless sensor networks have emerged as the major criteria that enable the next scientific, technological, engineering, and economic revolution. Since digital rights management is of the crucial importance for sensor networks, there is an urgent need for development of intellectual property protection (IPP) techniques. We have developed the first system of watermarking techniques to embed cryptologically encoded authorship signatures into data and information acquired by wireless embedded sensor networks. The key idea is to impose additional constraints during the data acquisition or sensor data processing. Constraints correspond to the encrypted signature and are selected in such a way that they provide favorable tradeoffs between the accuracy and the strength of proof of the authorship. The techniques for watermarking raw sensor data include one that modifies the location and orientation of a sensor, time management discipline (e.g. frequency and phase of intervals between consecutive data capturing), and its resolution. The second set of techniques embeds signature during data processing. There are at least three degrees of freedom that can be exploited: error minimization procedures, physical world model building, and solving of computationally intractable problems. We have developed several watermarking techniques that leverage on the error minimization degree of freedom and have demonstrated their effectiveness for watermarking location discovery information.
机译:无线传感器网络已经成为推动下一次科学,技术,工程和经济革命的主要标准。由于数字版权管理对于传感器网络至关重要,因此迫切需要开发知识产权保护(IPP)技术。我们开发了第一个水印技术系统,该系统将密码编码的作者签名嵌入到无线嵌入式传感器网络获取的数据和信息中。关键思想是在数据采集或传感器数据处理期间施加其他约束。约束与加密的签名相对应,并且选择约束的方式应使它们在作者的准确性和证据强度之间提供有利的折衷。用于给原始传感器数据加水印的技术包括修改传感器的位置和方向,时间管理原则(例如,连续数据捕获之间的间隔的频率和相位)及其分辨率的技术。第二套技术在数据处理期间嵌入签名。至少可以利用三个自由度:错误最小化过程,物理世界模型构建以及计算上难以解决的问题的解决。我们已经开发了几种水印技术,它们充分利用了将错误最小化的自由度,并证明了其对水印位置发现信息的有效性。

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