基于区块链的室内位置寻呼和应答服务,具有截断地理不可区分性

IET Blockchain Pub Date : 2021-10-16 DOI:10.1049/blc2.12010
Changxin Yang, Xuan Ju, Erwu Liu, Yuanzhe Geng, Rui Wang
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引用次数: 1

摘要

基于室内位置的服务有许多基于室内导航的应用。多年来,研究人员提出了各种室内导航方法来找到某个感兴趣的点。本文提出了一种定位寻呼应答服务(LPAS),用于在室内环境中寻找某人。但是,它可能会面临严重的客户室内位置数据隐私泄露问题。为了确保安全性、隐私性和便利性,作者利用区块链对室内环境进行建模,并通过嵌入我们的三方握手Diffie-Hellman密钥协议程序,在区块链上构建基于区块链的室内LPAS (BILPAS)。我们的BILPAS可以在任意两个用户之间自动建立安全和隐私的通信隧道,从而大大解放了参与者不必要的自决定交互。在能够找到某个人的前提下,作者引入截断地理不可分辨性(trunted - geo - ininguishability, TGeoI),将实际位置扰动在有限的、有效的、用户自定义的距离内,从而使用户获得合理的位置隐私。作者强调了合理隐私保障的形式化处理,给出了TGeoI的严格定义,并与地理不可分辨性进行了比较,证明作者的方法满足这种性质。然后,作者提出了BILPAS原型,并在Hyperledger Fabric上实现。最后进行了安全性和隐私性分析,并对时间性能进行了评价。实验结果验证了作者框架具有合理的隐私性、高安全性和便捷性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Blockchain-based indoor location paging and answering service with truncated-geo-indistinguishability

Blockchain-based indoor location paging and answering service with truncated-geo-indistinguishability

Indoor location-based services have numerous applications built on indoor navigation. Over the years, researchers have proposed various indoor navigation methods to find a certain point of interest. This paper proposes location paging and answering service (LPAS) for finding out someone in an indoor environment . However, it may face serious problems of privacy disclosure of the clients' indoor location data . To ensure security, privacy and convenience, the authors leverage blockchain to model the indoor environment, and build blockchain-based indoor LPAS (BILPAS) on blockchain by embedding our three-way-handshake Diffie–Hellman Key Agreement procedures. Our BILPAS can automatically establish a secure and privacy communication tunnel between any two users, thus greatly liberating participants from unnecessary self-determining interactions . On the premise that the certain person can also be found, the authors introduce Truncated-Geo-Indistinguishability (TGeoI) to perturb the actual location within a limited, valid, user-defined distance, thereby allowing users to obtain reasonable location privacy. The authors have put a strong emphasis in the formal treatment of the reasonable privacy guarantees, giving a rigorous definition of TGeoI and providing a comparison with Geo-Indistinguishability that the authors' method satisfies such property. Then, the authors present the BILPAS prototype and implement it on Hyperledger Fabric. Finally, the authors conduct the security and privacy analysis and evaluate the time performance. The experiment results validate the reasonable privacy, high security and convenience of the authors' framework.

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