文章基本信息

标题：SybilEye: Observer-Assisted Privacy-Preserving Sybil Attack Detection on Mobile Crowdsensing
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作者：Junhyeok Yun ; Mihui Kim
期刊名称：Information
电子版ISSN：2078-2489
出版年度：2020
卷号：11
期号：4
页码：198-211
DOI：10.3390/info11040198
出版社：MDPI Publishing
摘要：Mobile crowdsensing is a data collection system using widespread mobile devices with various sensors. The data processor cannot manage all mobile devices participating in mobile crowdsensing. A malicious user can conduct a Sybil attack (e.g., achieve a significant influence through extortion or the generation of fake IDs) to receive an incentive or destroy a system. A mobile crowdsensing system should, thus, be able to detect and block a Sybil attack. Existing Sybil attack detection mechanisms for wireless sensor networks cannot apply directly to mobile crowdsensing owing to the privacy issues of the participants and detection overhead. In this paper, we propose an effective privacy-preserving Sybil attack detection mechanism that distributes observer role to the users. To demonstrate the performance of our mechanism, we implement a Wi-Fi-connection-based Sybil attack detection model and show its feasibility by evaluating the detection performance.
关键词：mobile crowdsensing; sybil attack; privacy preservation; observer-assisted mobile crowdsensing ; sybil attack ; privacy preservation ; observer-assisted