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基于预测差值扩展的WSN数据完整性认证方法

A Scheme based on Predicted Difference Expansion for Data Integrity of WSN
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摘要 传统的基于加密的认证方法在能量消耗、存储空间以及计算能力等方面开销过大,并不适合WSN;已有的基于水印的认证方案对原始数据有不同程度的不可逆修改。提出一种新的基于预测差值扩展的认证方法(PDE-WC),传感器数据流基于哈希函数产生水印信息,利用预测器产生预测差值,将水印信息嵌入差值,组织成水印链发送;接收节点提取并进行水印信息比对,比对一致则通过认证,并利用相同的预测器产生预测差进而完整恢复原始数据。实验表明,该方案具有更好的篡改识别率,同时对于通过认证的数据帧可以实现原始数据的完整恢复。 The traditional authentication methods ,which are based on encryption, are prohibitively expensrve in terms ot energy consumption, storage requirements, computer ability and so on, and thus unsuitable for WSN . Existing authentication schemes, which based on different watermark methods, have different degree of modification for the raw data. This paper proposes fragile watermarking technique which named PDE-WC (Predict Difference Expansion Watermark Chain). Watermark is generated from the WSN data stream by hash function. Then predict error generated and be embedded with watermark. The watermark chain is organized before transmission.Analysis and experimental results show that our scheme has a better tamper recognition rate and lossless restoration with low cost.
出处 《计算机安全》 2014年第9期21-25,共5页 Network & Computer Security
关键词 无线传感器网络 预测差值扩展 水印链 完整恢复 WSNs Predict Difference Expansion Watermark Chain Lossless Restoration
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