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工程科学与技术:2016,48(4):144-149
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基于同态加密的可验证隐私数据聚合方案
(中科院成都计算机应用研究所)
A Verifiable Private Data Aggregation Scheme Based on Homomorphic Encryption
(Chengdu Institute of Computer Applications)
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投稿时间:2015-07-01    修订日期:2016-05-27
中文摘要: 为克服传统无线传感器网络数据聚合方案在数据保密计算、防止抵赖、抵御内部和外部攻击、追查并修复错误等方面的性能及安全性与效率上的不足,本文构造了一个基于数字签名和同态加密技术的可验证隐私数据聚合方案。采用ElGamal加密方案作为基础方案对隐私数据加密,并将传感器节点身份信息加入数字签名,使来自不同节点的数据具有可辨识性,从而使方案具备了验证数据及追查并修复错误的能力。采用了相关文献提出的保密干扰因子方法,使方案能够抵御内部攻击,并利用一类具有同态加性质的保密求和算法构造了一种不需要可信第三方的保密干扰因子生成方法,从而避免了引入可信第三方及由此带来的安全性与效率问题。给出了方案的安全性证明和效率分析,并就主要性能与一些典型方案做了对比。分析结果表明,本文方案是安全的,且整体性能优于已有方案。
Abstract:In order to overcome the drawbacks of most existing data aggregating schemes for wireless sensor networks (WSN) and provide capabilities of data privacy, unforgeability, defending external and internal attacks, tracing and fixing data mistakes, as well as better security and efficiency, a verifiable data aggregation scheme using Homomorphic Encryption (HE) techniques was proposed, in which sensors’ identities were included in digital signatures to achieve data distinguishability, so as to provide the proposed scheme with functions of data verification, tracing and modification. The ElGamal cryptosystem was adopted as a basic scheme to encrypt confidential data. Blinding factors were introduced to provide the scheme with defence capability against internal attacks. Using a kind of multiplicativelly homomorphic secure summation algorithm, a blinding factor generating method which avoids the need for a trusted third party (TTP) was proposed to avoid possible risks introduced by using of TTP. Security and efficiency analysis was given hereafter, as well as comparisons with some classical schemes. It shows that the proposed scheme is secure and the overall performance is better than the existing schemes.
文章编号:201500644     中图分类号:    文献标志码:
基金项目:国家重点基础研究发展计划(973计划)(2011CB302400);国家自然科学基金(No.61363069);广西自然科学基金(61462017,2014GXNSFAA118364);广西研究生教育创新计划资助项目(No.XJYC2012020)
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引用文本:
王会勇.基于同态加密的可验证隐私数据聚合方案[J].工程科学与技术,2016,48(4):144-149.
wang hui yong.A Verifiable Private Data Aggregation Scheme Based on Homomorphic Encryption[J].Advanced Engineering Sciences,2016,48(4):144-149.