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Efficient and provably secure identity-based multi-signature schemes for data aggregation in marine wireless sensor networks

机译:高效且可证明安全的基于身份的多重签名方案,用于海洋无线传感器网络中的数据聚合

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Data aggregation is a significant issue for marine wireless sensor networks. However, marine sensors are always deployed far away from the security monitoring. Thus, the secure data aggregation for marine sensor networks emerges and attracts the researchers and engineers. Multi-signature enables the data aggregation with a single signature to authenticate the message under different signers. However, most of the previous multi-signature schemes rely on the technique of bilinear pairing involving in heavy computational overhead or the management of certificates which can not be afforded by the marine wireless sensors. Combined with the concept of identity-based cryptography, few identity-based multi-signature (IBMS) schemes have been designed based on the integer factorization problem and without the bilinear pairing. In this paper, we propose two efficient IBMS schemes under the cubic residue assumption, which is equal to the integer factorization assumption. We employ two different methods to calculate a cubic root for a cubic residue number during the signer's private key extraction. The algorithms are quite efficient compared to the previous work, especially for the algorithms of the multi-signature generation and its verification.
机译:对于海洋无线传感器网络而言,数据聚合是一个重要的问题。但是,海洋传感器始终部署在远离安全监控的地方。因此,出现了用于海洋传感器网络的安全数据聚合,并吸引了研究人员和工程师。多重签名使具有单个签名的数据聚合可以在不同签名者下对消息进行身份验证。然而,大多数先前的多签名方案依赖于双线性配对的技术,该技术涉及繁重的计算开销或海洋无线传感器无法提供的证书管理。结合基于身份的密码学概念,很少有基于整数分解问题且没有双线性配对的基于身份的多重签名(IBMS)方案被设计出来。在本文中,我们在三次残差假设下提出了两个有效的IBMS方案,它们等于整数分解假设。在签名者的私钥提取过程中,我们采用两种不同的方法来计算立方残差数的立方根。与以前的工作相比,该算法非常有效,特别是对于多签名生成及其验证的算法。

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