BSIF: Blockchain-Based Secure, Interactive, and Fair Mobile Crowdsensing

Wang, Weizheng; Yang, Yaoqi; Yin, Zhimeng; Dev, Kapal; Zhou, Xiaokang; Li, Xingwang; Qureshi, Nawab Muhammad Faseeh; Su, Chunhua

doi:10.1109/jsac.2022.3213306

“…For instance, assume the longitude area for the sensing task is [32.0000000, 32.0900000], we can obtain x = 100101101100 for long M W = 32.0000000 and x = 100101101100 for long M W = 32.0900000 via Alg. 1, where i = 11, and hence their first 11 bit results are the same (as shown in Table X in [5]). In addition, it is not hard to verify that the first 11 bit results are the same for all nodes in this longitude area.…”

Section: Algorithm 1: Location-based Symmetric Key Generation For Bsifmentioning

confidence: 95%

“…As mentioned earlier, Jiang et al's BSIF [5] used the smart contract and two-stage Stackelberg game to address the issues of centralization and fairness, and the location-based symmetric key generation algorithm to address location privacy issue. Here, we only focus on their location-based symmetric key generation algorithm, since others are irrelevant to our analysis.…”

Section: Review Of Wang Et Al's Bsifmentioning

confidence: 99%

“…Next, we will review their location-based symmetric key generation algorithm and point out an error in it. [5]. The goal of the location-based symmetric key generation algorithm is to allow the service requestor and the mobile nodes in the task area to generate the same key based on their locations, and to ensure that only the mobile nodes who are in the task area can generate the correct symmetric key.…”

Section: Review Of Wang Et Al's Bsifmentioning

confidence: 99%

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Comments on “BSIF: Blockchain-Based Secure, Interactive, and Fair Mobile Crowdsensing”

Wang¹,

Luo²,

Yan³

2023

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<p>Mobile crowdsensing (MCS) is a promising sensing paradigm which allows users to outsource a range of sensing tasks to a crowd of mobile workers with mobile devices. Location-dependent MCS, as the name implies, is a geographically-dependent sensing paradigm in which service requestors outsource location-specific tasks to many workers with mobile devices, and the workers accepting the tasks collect data at a particular location by physically arriving at the desired locations. Many efforts have been devoted to protecting location privacy of the workers accepting the tasks while ensuring task allocation accuracy and efficiency. In 2022, Wang et al. proposed BSIF, a blockchain-based MCS system (published in IEEE Journal on Selected Areas in Communications (JSAC)) that can prevent not only illegitimate participants but also location privacy leakage. For the purpose of protecting location privacy, they proposed a location-based symmetric key generation algorithm, which coordinates session keys for the target ranges between the service requestor and the workers accepting the tasks without revealing the location information. However, in this paper, we will point out a flaw in their location-based symmetric key generation algorithm, which indicates that BSIF does not work. Furthermore, we propose a novel approach to achieve the location-based symmetric key generation using a witness encryption scheme. </p>

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“…The trusted data sharing mechanism constructed by Blockchain effectively solves the problem of the lack of mutual trust among HetNets nodes and provides a new evolution direction for 6G HetNets [8][9][10][11][12][13]. In 6G HetNets, the blockchainbased authentication method can well meet the new security requirements brought by network heterogeneity.…”

Section: Introductionmentioning

confidence: 99%

Blockchain-based differentiated authentication mechanism for 6G heterogeneous networks

Tu

¹

,

Zhou

²

,

Li

³

et al. 2023

Peer-to-Peer Netw. Appl.

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It is well known that the Sixth Generation (6G) communication system integrating multiple access networks promotes the internet of everything world-widely. However, due to the differentiated underlying network protocols, it is difficult to find a general authentication solution to support various authentication methods in different access networks. Blockchain is a new technology that supports network heterogeneity, which provides a potential solution for differentiated authentication. In this paper, we propose a blockchain-based differentiated authentication mechanism for 6G Heterogeneous Networks (HetNets), which can efficiently authenticate user identities through scheduling different authentication methods. Particularly, we analyze the authentication architecture of 6G HetNets and put forward a blockchain-based differentiated authentication framework. Besides, to improve the scalability of user authentication, it is the first time to use various blockchain authentication contracts to represent different authentication methods. Meanwhile, a differentiated authentication management contract is proposed to uniformly manage different authentication contracts to realize differentiated identity authentication. Based on the evaluation of the prototype system, the proposed mechanism can dynamically provide differentiated authentication services (e.g. EAP-MD5, 5G-AKA) with low additional time (milliseconds levels) cost.

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“…Recently, Wang et al [5] proposed BSIF, a blockchainbased MCS system that can prevent not only illegitimate participants but also location privacy leakage, where the smart contract and two-stage Stackelberg game [4] were introduced mainly to alleviate the issues of centralization and fairness. Their main technique to protect the location privacy is to design a location-based symmetric key generation algorithm, which enables the service requester and the mobile nodes in the task area to negotiate a session key without disclosing the location information.…”

Section: Introductionmentioning

confidence: 99%

Comments on “BSIF: Blockchain-Based Secure, Interactive, and Fair Mobile Crowdsensing”

Wang¹,

Luo²,

Yan³

2023

Preprint

0

View full text Add to dashboard Cite

<p>Mobile crowdsensing (MCS) is a promising sensing paradigm which allows users to outsource a range of sensing tasks to a crowd of mobile workers with mobile devices. Location-dependent MCS, as the name implies, is a geographically-dependent sensing paradigm in which service requestors outsource location-specific tasks to many workers with mobile devices, and the workers accepting the tasks collect data at a particular location by physically arriving at the desired locations. Many efforts have been devoted to protecting location privacy of the workers accepting the tasks while ensuring task allocation accuracy and efficiency. In 2022, Wang et al. proposed BSIF, a blockchain-based MCS system (published in IEEE Journal on Selected Areas in Communications (JSAC)) that can prevent not only illegitimate participants but also location privacy leakage. For the purpose of protecting location privacy, they proposed a location-based symmetric key generation algorithm, which coordinates session keys for the target ranges between the service requestor and the workers accepting the tasks without revealing the location information. However, in this paper, we will point out a flaw in their location-based symmetric key generation algorithm, which indicates that BSIF does not work. Furthermore, we propose a novel approach to achieve the location-based symmetric key generation using a witness encryption scheme. </p>

show abstract

BSIF: Blockchain-Based Secure, Interactive, and Fair Mobile Crowdsensing

Cited by 42 publications

References 33 publications

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Comments on “BSIF: Blockchain-Based Secure, Interactive, and Fair Mobile Crowdsensing”

Blockchain-based differentiated authentication mechanism for 6G heterogeneous networks

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