Abstract
In mobile crowd sensing (MCS), the cloud as a single sensing platform undertakes a large number of communication tasks, leading to the reduction of sensing task execution efficiency and the risk of loss and leakage of users’ private data. In this paper, we propose a spatial ciphertext aggregation scheme with collaborative verification of fog nodes. Firstly, the cloud and fog collaboration architecture is constructed. Fog nodes are introduced for data validation and slices transmission, reducing computing cost on the sensing platform. Secondly, a multipath transmission method of slice data is proposed, in which the user identity and data are transmitted anonymously by the secret sharing method, and the data integrity is guaranteed by hash chain authentication. Finally, a spatial data aggregation method based on privacy protection is presented. The ciphertext aggregation calculation of the sensing platform is realized through Paillier homomorphic encryption, and the problem of insufficient data coverage in the sensing region is solved by the position-based weight interpolation method. The security analysis demonstrates that the scheme can achieve the expected security goal. The simulation results show the feasibility and effectiveness of the proposed scheme.
Highlights
With the rapid development of mobile communication technology and the popularity of various wearable mobile devices, mobile users can collect various data anytime and anywhere
(3) A spatial data aggregation method based on privacy protection is advanced. e ciphertext aggregation calculation of the sensing platform is realized through Paillier homomorphic encryption, and the problem of insufficient data coverage in the sensing region is solved by the position-based weight interpolation method
The computation cost paid by mobile users and task initiators in this scheme is much lower than that of fog nodes and sensing platform, and mobile users only need to pay a small computation cost to fulfill their own requirements for privacy protection. erefore, this scheme can fulfill the requirements of mobile users and task requestors with limited computation power and achieve lightweight task participation
Summary
With the rapid development of mobile communication technology and the popularity of various wearable mobile devices, mobile users can collect various data anytime and anywhere. En, a reasonable secret threshold t is set according to the number of fog nodes to realize anonymous transmission of user identity, and hash chain authentication is adopted to achieve a trade-off between privacy protection and data integrity. Based on fog-assisted computing, a Privacy-Aware Task Allocation and Data Aggregation (PTAA) scheme was proposed by using bilinear pairing and homomorphic encryption technology in literature [24]. Basudan et al [26] proposed a Certificateless Aggregate Signcryption (CLASC) scheme to enhance security in data transmission of vehicular crowd sensing based on the road surface condition monitoring system with fog computing, which ensured data privacy security using lower computation cost. Li and Cao [29] presented a new mobile sensing protocol to obtain the sum of time-series data, which uses homomorphic encryption and a novel key management scheme based on efficient HMAC to achieve additive ciphertext aggregation of sensed data. The above schemes did not consider the case that malicious attackers submit false data, which may interfere with the final results
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