Efficient Homomorphic-Encryption-Based Secure Search in Multiowner Setting for Internet of Things

IF 8.9 1区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Yibing Wang;Yinbin Miao;Xinghua Li;Tao Leng;Zhiquan Liu;Ximeng Liu;Kim-Kwang Raymond Choo;Robert H. Deng
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引用次数: 0

Abstract

Ensuring the security of data outsourced to cloud is a prerequisite for the application of Internet of Things (IoT) in actual production. Secure search based on homomorphic encryption can provide high security and require no expensive setup procedure, which can be applied to resource-limited devices in IoT. However, the existing schemes usually have poor search performance and do not consider multiowner setting. To solve these issues, we propose an efficient homomorphic encryption-based secure search scheme in multiowner setting. Specifically, we construct a secure search protocol based on multikey homomorphic encryption, which can be deployed in multiowner setting. Meanwhile, we improve the efficiency of our scheme by optimizing the search algorithm. Formal security analysis proves that our scheme is secure against chosen plaintext attack, and extensive experiments demonstrate that our scheme improves the search efficiency by $1000\times $ when compared with state-of-the-art solutions.
基于高效同态加密的物联网多所有者安全搜索
确保外包到云的数据安全是物联网在实际生产中应用的前提。基于同态加密的安全搜索可以提供高安全性,并且不需要昂贵的设置过程,可以应用于物联网中资源有限的设备。然而,现有的搜索方案通常具有较差的搜索性能,并且没有考虑多所有者设置。为了解决这些问题,我们提出了一种高效的基于同态加密的多所有者安全搜索方案。具体来说,我们构建了一个基于多密钥同态加密的安全搜索协议,该协议可以部署在多所有者环境中。同时,通过对搜索算法的优化,提高了方案的效率。正式的安全分析证明了我们的方案对选择明文攻击是安全的,大量的实验表明,与最先进的解决方案相比,我们的方案将搜索效率提高了1000倍。
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来源期刊
IEEE Internet of Things Journal
IEEE Internet of Things Journal Computer Science-Information Systems
CiteScore
17.60
自引率
13.20%
发文量
1982
期刊介绍: The EEE Internet of Things (IoT) Journal publishes articles and review articles covering various aspects of IoT, including IoT system architecture, IoT enabling technologies, IoT communication and networking protocols such as network coding, and IoT services and applications. Topics encompass IoT's impacts on sensor technologies, big data management, and future internet design for applications like smart cities and smart homes. Fields of interest include IoT architecture such as things-centric, data-centric, service-oriented IoT architecture; IoT enabling technologies and systematic integration such as sensor technologies, big sensor data management, and future Internet design for IoT; IoT services, applications, and test-beds such as IoT service middleware, IoT application programming interface (API), IoT application design, and IoT trials/experiments; IoT standardization activities and technology development in different standard development organizations (SDO) such as IEEE, IETF, ITU, 3GPP, ETSI, etc.
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