基于身份的海洋无线传感器网络数据聚合有效且安全的多重签名方案

Lifei Wei, Lei Zhang, Dongmei Huang, Kaibo Zhang
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引用次数: 7

摘要

数据聚合是海洋无线传感器网络的一个重要问题。然而,船舶传感器通常部署在远离安全监控的地方。因此,海洋传感器网络的安全数据聚合问题应运而生,引起了研究人员和工程师的广泛关注。多重签名允许使用单个签名的数据聚合对不同签名者下的消息进行身份验证。然而,以往的多重签名方案大多依赖于双线性配对技术,计算量大或证书管理困难,这是海洋无线传感器无法承担的。结合基于身份的密码学的概念,基于整数分解问题而不考虑双线性对的基于身份的多重签名(IBMS)方案已经被设计出来。在三次残差假设下,我们提出了两种有效的IBMS方案,该方案等于整数分解假设。在签名者私钥提取过程中,我们使用两种不同的方法来计算立方余数的三次方根。与以往的工作相比,这些算法的效率很高,特别是在多重签名的生成和验证算法方面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficient and provably secure identity-based multi-signature schemes for data aggregation in marine wireless sensor networks
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.
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