无线传感器网络隐私保护数据聚合算法研究

IF 1.1 4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS
Yang Lei, Wu Jue, Liu Feng, Peng Lingxi
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引用次数: 2

摘要

随着无线传感器网络(WSNs)的发展,许多应用对隐私保护提出了要求。在无线传感器网络中提供有效的隐私保护数据聚合变得越来越重要。近年来,人们对无线传感器网络中的安全数据聚合进行了研究,但大多数算法存在计算量大、通信开销大、部分算法不提供数据完整性校验等问题。为了解决这些问题,本文提出了一种改进的基于复数的WSN保私数据聚合算法。该算法采用了一种高效的密钥分发方案,提高了密钥的安全性。该算法使用复数来保护隐私和检查数据的完整性。通过分析,该算法在通信、计算和完整性校验方面都是高效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research of privacy-preserving data aggregation algorithm for wireless sensor network
With the development of wireless sensor networks (WSNs), many applications require for the privacy preserving. Providing an efficient privacy-preserving data aggregation in WSNs is becoming more and more important. The secure data aggregation in WSNs has been studied in recent years, but most of the algorithms are suffering from the high computation overhead and high communication overhead, and some of the algorithms do not supply the data integrity checking. To resolve these problems, a modified private-preserving data aggregation based on complex number algorithm for WSN is proposed in this paper. An efficient key distribution scheme is used in the algorithm to improve the security of the key. The complex number is used in the algorithm to protect the privacy and check the data integrity. According to the analysis in the paper, the algorithm is efficient in terms of communication, computation and integrity checking.
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来源期刊
International Journal of Sensor Networks
International Journal of Sensor Networks COMPUTER SCIENCE, INFORMATION SYSTEMS-TELECOMMUNICATIONS
CiteScore
2.40
自引率
27.30%
发文量
86
期刊介绍: IJSNet proposes and fosters discussion on and dissemination of issues related to research and applications of distributed and wireless/wired sensor and actuator networks. Sensor networks is an interdisciplinary field including many fields such as wireless networks and communications, protocols, distributed algorithms, signal processing, embedded systems, and information management. Topics covered include: -Energy efficiency, energy efficient protocols- Applications- Location techniques, routing, medium access control- Coverage, connectivity, longevity, scheduling, synchronisation- Network resource management, network protocols, lightweight protocols- Fault tolerance/diagnostics- Foundations- Data storage, query processing, system architectures, operating systems- In-network processing and aggregation- Learning of models from data- Mobility- Performance analysis- Sensor tasking and control- Security, privacy, data integrity- Modelling of systems/physical environments, simulation tools/environments.
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