Quantifying location privacy in permissioned blockchain-based internet of things (IoT)

Shahid, Abdur R.; Pissinou, Niki; Njilla, Laurent; Alemany, Sheila; Imteaj, Ahmed; Makki, Kia; Aguilar, Edwin

doi:10.1145/3360774.3360800

Cited by 11 publications

(6 citation statements)

References 18 publications

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“…These entities usually act as certificate authorities that release public and private keys to access the ledger [26]. Obviously, such a solution requires to trust such consortium [27]. In contrast, we think that a permissionless approach, such as Ethereum and IOTA DLTs, is more suitable to let every individual share his data and enjoy services.…”

Section: ) Distributed Ledger Technologiesmentioning

confidence: 99%

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A Framework Based on Distributed Ledger Technologies for Data Management and Services in Intelligent Transportation Systems

2020

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Data are becoming the cornerstone of many businesses and entire systems infrastructure. Intelligent Transportation Systems (ITS) are no different. The ability of intelligent vehicles and devices to acquire and share environmental measurements in the form of data is leading to the creation of smart services for the benefit of individuals. In this paper, we present a system architecture to promote the development of ITS using distributed ledgers and related technologies. Thanks to these, it becomes possible to create, store and share data generated by users through the sensors on their devices or vehicles, while on the move. We propose an architecture based on Distributed Ledger Technologies (DLTs) to offer features such as immutability, traceability and verifiability of data. IOTA, a promising DLT for IoT, is used together with Decentralized File Storages (DFSes) to store and certify data (and their related metadata) coming from vehicles or by the users' devices themselves (smartphones). Ethereum is then exploited as the smart contract platform that coordinates the data sharing through access control mechanisms. Privacy guarantees are provided by the usage of distributed key management systems and Zero Knowledge Proof. We provide experimental results of a testbed based on real traces, in order to understand if DLT and DFS technologies are ready to support complex services, such as those that pertain to ITS. Results clearly show that, while the viability of the proposal cannot be rejected, further work is needed on the responsiveness of DLT infrastructures. INDEX TERMS Intelligent transportation systems, distributed ledger technologies, blockchain, smart contracts, decentralized file storage, sensing as a service.

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Section: ) Distributed Ledger Technologiesmentioning

confidence: 99%

“…With respect to the two previous approaches, zk-PoL introduces the concept of privacy, since it demonstrates that a user is within a certain area, without revealing the exact position of the user. Examples of proof-of-location protocols that enhance location privacy are shown in Platin [77] and in [27].…”

Section: ) Data Authenticity For Proof Of Locationmentioning

confidence: 99%

A Framework Based on Distributed Ledger Technologies for Data Management and Services in Intelligent Transportation Systems

2020

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“…Another popular solution is the Spatial Obfuscation which replaces user's real location with a larger CR. 4,7,10,22,[28][29][30][31][32] Earlier methods concentrate only on minimum privacy area requirement for a CR, 4,30 without considering any information related to users and therefore are highly vulnerable to attacks based on such information. A promising approach is the PROB framework, 31 which translates the locations into features and allows users to assign sensitivity levels for each feature.…”

Section: Related Workmentioning

confidence: 99%

“…Another popular solution is the Spatial Obfuscation which replaces user's real location with a larger CR 4,7,10,22,28‐32 . Earlier methods concentrate only on minimum privacy area requirement for a CR, 4,30 without considering any information related to users and therefore are highly vulnerable to attacks based on such information.…”

Section: Related Workmentioning

confidence: 99%

Delay‐aware privacy‐preserving location‐based services under spatiotemporal constraints

Shahid

Pissinou

Iyengar

et al. 2020

Int J Communication

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The ubiquitous use of location-based services (LBS) through smart devices produces massive amounts of location data. An attacker, with an access to such data, can reveal sensitive information about users. In this paper, we study location inference attacks based on the probability distribution of historical location data, travel time information between locations using knowledge of a map, and short and long-term observation of privacy-preserving queries. We show that existing privacy-preserving approaches are vulnerable to such attacks. In this context, we propose a novel location privacy-preserving approach, called KLAP, based on the three fundamental obfuscation requirements: minimum k-locations, l-diversity, and privacy area preservation. KLAP adopts a personalized privacy preference for sporadic, frequent, and continuous LBS use cases. Specifically, it generates a secure concealing region (CR) to obfuscate the user's location and directs that CR to the service provider. The main contribution of this work is twofold. First, a CR pruning technique is devised to establish a balance between privacy and delay in LBS usage. Second, a new attack model called a long-term obfuscated location tracking attack, and its countermeasure is proposed and evaluated both theoretically and empirically. We assess KLAP with two real-world datasets. Experimental results show that it can achieve better privacy, reduced delay, and lower communication costs than existing state-of-the-art methods.

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“…Different from public blockchain, everyone needs to be certificated to join the consensus process in private blockchain. Transactions on private blockchains are fast and efficient, but a single private blockchain network cannot effectively protect user privacy in location services [ 20 ].…”

Section: Introductionmentioning

confidence: 99%

A Novel Location Privacy-Preserving Approach Based on Blockchain

Qiu

Liu

et al. 2020

Sensors

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Location-based services (LBS) bring convenience to people’s lives but are also accompanied with privacy leakages. To protect the privacy of LBS users, many location privacy protection algorithms were proposed. However, these algorithms often have difficulty to maintain a balance between service quality and user privacy. In this paper, we first overview the shortcomings of the existing two privacy protection architectures and privacy protection technologies, then we propose a location privacy protection method based on blockchain. Our method satisfies the principle of k-anonymity privacy protection and does not need the help of trusted third-party anonymizing servers. The combination of multiple private blockchains can disperse the user’s transaction records, which can provide users with stronger location privacy protection and will not reduce the quality of service. We also propose a reward mechanism to encourage user participation. Finally, we implement our approach in the Remix blockchain to show the efficiency, which further indicates the potential application prospect for the distributed network environment.

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Quantifying location privacy in permissioned blockchain-based internet of things (IoT)

Cited by 11 publications

References 18 publications

A Framework Based on Distributed Ledger Technologies for Data Management and Services in Intelligent Transportation Systems

A Framework Based on Distributed Ledger Technologies for Data Management and Services in Intelligent Transportation Systems

Delay‐aware privacy‐preserving location‐based services under spatiotemporal constraints

A Novel Location Privacy-Preserving Approach Based on Blockchain

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