移动人群感应系统中的轻量级隐私保护真相发现技术

IF 3.8 2区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Taochun Wang , Nuo Xu , Qiong Zhang , Fulong Chen , Dong Xie , Chuanxin Zhao
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引用次数: 0

摘要

真相发现作为提高移动人群感知数据质量的有效方法,近来受到广泛关注。它根据参与者提交的感官数据推断参与者权重,然后利用权重对感官数据进行聚合,最终推断出真实信息。由于移动人群感知中的参与者面临隐私泄露问题,现有工作主要集中在感官数据隐私方面,对权重隐私考虑较少。基于此,本文提出了移动人群感知中的轻量级隐私保护真相发现算法 ALPPTD。ALPPTD将权重和真相更新的加解密计算放在云服务器端,大大降低了参与者的计算开销,从而激励更多用户参与。同时,两台互不串联的云服务器使用同态加密技术实现感知数据的聚合,从而在保证参与者感知数据和权重隐私的前提下迭代计算真相。理论分析和实验结果表明,ALPPTD 在计算真值的同时保证了参与者感官数据和权重的隐私,具有参与者计算开销低的特点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A lightweight privacy-preserving truth discovery in mobile crowdsensing systems

Truth discovery as an effective method to improve data quality in mobile crowd sensing has recently gained widespread attention. It inferred participant weight based on the sensory data submitted by participants, and then used the weight to aggregate sensory data and finally inferred the real information. Due to participants in mobile crowd sensing facing the problem of privacy leakage, existing work mainly focuses on sensory data privacy, with less consideration of weight privacy. Based on this, this paper proposes a lightweight privacy-preserving truth discovery in mobile crowd sensing ALPPTD. ALPPTD ran the encryption and decryption calculations of weight and truth update on the cloud server side, which greatly reduced the computation overhead of participants to motivate more users to participate. Meanwhile, two non-colluding cloud servers use homomorphic encryption to achieve aggregation of sensory data, thus iteratively computing the truth while guaranteeing the privacy of participants’ sensory data and weights. Theoretical analysis and experiment results show that ALPPTD ensures the privacy of participants’ sensory data and weight while computing the truth value with low computation overhead characteristics of participants.

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来源期刊
Journal of Information Security and Applications
Journal of Information Security and Applications Computer Science-Computer Networks and Communications
CiteScore
10.90
自引率
5.40%
发文量
206
审稿时长
56 days
期刊介绍: Journal of Information Security and Applications (JISA) focuses on the original research and practice-driven applications with relevance to information security and applications. JISA provides a common linkage between a vibrant scientific and research community and industry professionals by offering a clear view on modern problems and challenges in information security, as well as identifying promising scientific and "best-practice" solutions. JISA issues offer a balance between original research work and innovative industrial approaches by internationally renowned information security experts and researchers.
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