Abstract
With the popularity of mobile terminal equipment and wireless sensing network, the applications of mobile crowdsensing-based traffic violation monitoring are increasingly widely used. However, the enormous amount of sensing data with complex types brings a critical challenge to the limited bandwidth and storage space. Meanwhile, there is a serious risk of the sensing data and query privacy leakage in multi-requester/multi-user scenarios. To address the above issues, we propose a traffic violation image filtering and searching scheme for multi-requester/multi-user mobile crowdsensing, which achieves image content and user query privacy preservation. Specifically, we firstly consider the multiple factors that impaired image quality, then give the grading metric to perform image filtering and obtain high-quality images. In query and searching processes, we achieve that unshared key multi-requester/multi-user image retrieval without any image content and query privacy leakage. Moreover, our proposed scheme supports the malicious users’ accountability based on the revealed private keys, which significantly improve the security and reliability. Finally, we conduct the privacy analysis, which satisfies the privacy-preserving and security requirements. Experiment results on real-world dataset show that our approach to image filtering and searching is practical and effective.





Similar content being viewed by others
References
Basudan S, Lin X, Sankaranarayanan K (2017) A privacy-preserving vehicular crowdsensing-based road surface condition monitoring system using fog computing. IEEE Internet Things J 4(3):772–782
Chen H, Guo B, Yu Z, Chen L, Ma X (2017) A generic framework for constraint-driven data selection in mobile crowd photographing. IEEE Internet Things J 4(1):284–296
Dong X, Zhang W, Shah M, Wang B, Yu N (2020) Watermarking-based secure plaintext image protocols for storage, show, deletion and retrieval in the cloud. IEEE Transactions on Services Computing
Guo B, Chen H, Yu Z, Nan W, Xie X, Zhang D, Zhou X (2017) Taskme: toward a dynamic and quality-enhanced incentive mechanism for mobile crowd sensing. Int J Human-Comput Stud 102:14–26
Guo B, Chen H, Yu Z, Xie X, Huangfu S, Zhang D (2014) Fliermeet: a mobile crowdsensing system for cross-space public information reposting, tagging, and sharing. IEEE Trans Mob Comput 14(10):2020–2033
Guo B, Wang Z, Yu Z, Wang Y, Yen NY, Huang R, Zhou X (2015) Mobile crowd sensing and computing: the review of an emerging human-powered sensing paradigm. ACM Comput Surveys (CSUR) 48(1):7.1–7.31
Jiang Q, Zhang N, Ni J, Ma J, Ma X, Choo KKR (2020) Unified biometric privacy preserving three-factor authentication and key agreement for cloud-assisted autonomous vehicles. IEEE Trans Veh Technol 69(9):9390–9401. https://doi.org/10.1109/TVT.2020.2971254
Jiang Q, Zhang X, Zhang N, Tian Y, Ma X, Ma J (2021) Three-factor authentication protocol using physical unclonable function for iov. Comput Commun, 1–1
Khan S, Zhu L, Yu X, Zhang Z, Rahim MA, Khan M, Du X, Guizani M (2020) Accountable credential management system for vehicular communication. Veh Commun 25(100):279
Li M, Zhu L, Lin X (2019) Privacy-preserving traffic monitoring with false report filtering via fog-assisted vehicular crowdsensing. IEEE Transactions on Services Computing
Li Y, Ma J, Miao Y, Liu L, Liu X, Choo KKR (2020) Secure and verifiable multi-key image search in cloud-assisted edge computing. IEEE Transactions on Industrial Informatics
Li Y, Ma J, Miao Y, Wang Y, Liu X, Choo KKR (2020) Similarity search for encrypted images in secure cloud computing. IEEE Transactions on Cloud Computing
Lin Y, Tu Y, Dou Z, Chen L, Mao S (2020) Contour stella image and deep learning for signal recognition in the physical layer. IEEE Transactions on Cognitive Communications and Networking
Lin Y, Zhao H, Ma X, Tu Y, Wang M (2020) Adversarial attacks in modulation recognition with convolutional neural networks. IEEE Transactions on Reliability
Liu Y, Yu JJQ, Kang J, Niyato D, Zhang S (2020) Privacy-preserving traffic flow prediction: a federated learning approach. IEEE Internet Things J 7(8):7751–7763. https://doi.org/10.1109/JIOT.2020.2991401
Luo C, Ji J, Wang Q, Chen X, Li P (2020) Channel state information prediction for 5g wireless communications: A deep learning approach. IEEE Trans Netw Sci Eng 7(1):227–236
Ma M, Preum SM, Ahmed MY, Tärneberg W, Hendawi A, Stankovic JA (2019) Data sets, modeling, and decision making in smart cities: a survey. ACM Trans Cyber-Phys Syst 4(2):1–28
Nabil M, Sherif A, Mahmoud M, Alsharif A, Abdallah M (2019) Efficient and privacy-preserving ridesharing organization for transferable and non-transferable services. IEEE Transactions on Dependable and Secure Computing
Nakamura K, Nitta N, Babaguchi N (2018) Encryption-free framework of privacy-preserving image recognition for photo-based information services. IEEE Trans Inform Foren Secur 14(5):1264–1279
Shamir A (1979) How to share a secret. Commun ACM 22(11):359,168–359,176
Shu J, Wang S, Jia X, Zhang W, Xie R, Huang H (2020) Efficient lane-level map building via vehicle-based crowdsourcing. IEEE Transactions on Intelligent Transportation Systems
Shu J, Yang K, Jia X, Liu X, Wang C, Deng R (2018) Proxy-free privacy-preserving task matching with efficient revocation in crowdsourcing. IEEE Transactions on Dependable and Secure Computing
Silva SM, Jung CR (2018) License plate detection and recognition in unconstrained scenarios. In: Proceedings of the European conference on computer vision (ECCV), pp 580–596
Tian Y, Wang Z, Xiong J, Ma J (2020) A blockchain-based secure key management scheme with trustworthiness in dwsns. IEEE Trans Industr Inform 16(9):6193–6202
Wang R, Kan Z, Cui Y, Wu D, Zhen Y (2021) Cooperative caching strategy with content request prediction in internet of vehicles. IEEE Internet of Things Journal, 1–1
Wang X, Ma J, Liu X, Miao Y (2019) Search in my way: practical outsourced image retrieval framework supporting unshared key. In: IEEE INFOCOM 2019-IEEE conference on computer communications. IEEE, pp 2485–2493
Weppner J, Lukowicz P (2013) Bluetooth based collaborative crowd density estimation with mobile phones. In: 2013 IEEE International conference on pervasive computing and communications (PerCom). IEEE, pp 193–200
Wu Q, Li Y, Lin Y (2017) The application of nonlocal total variation in image denoising for mobile transmission. Multimed Tools Applic 76(16):17,179–17,191
Wu Q, Li Y, Lin Y, Yang X (2014) The nonlocal sparse reconstruction algorithm by similarity measurement with shearlet feature vector. Math Probl Eng, 2014
Wu Y, Wang Y, Cao G (2017) Photo crowdsourcing for area coverage in resource constrained environments. In: IEEE INFOCOM 2017-IEEE Conference on computer communications. IEEE, pp 1–9
Wu Y, Wang Y, Hu W, Cao G (2015) Smartphoto: a resource-aware crowdsourcing approach for image sensing with smartphones. IEEE Trans Mob Comput 15(5):1249–1263
Xiao B, Ou G, Tang H, Bi X, Li W (2019) Multi-focus image fusion by hessian matrix based decomposition. IEEE Trans Multimed 22(2):285–297
Xiao B, Xu B, Bi X, Li W (2020) Global-feature encoding u-net (geu-net) for multi-focus image fusion. IEEE Trans Image Process 30:163–175
Xiong J, Bi R, Zhao M, Guo J, Yang Q (2020) Edge-assisted privacy-preserving raw data sharing framework for connected autonomous vehicles. IEEE Wirel Commun 27(3):24–30
Xiong J, Chen L, Bhuiyan A, Cao C, Wang M, Luo E, Liu X (2020) A secure data deletion scheme for iot devices through key derivation encryption and data analysis. Fut Gen Comput Syst (Early Access) 111:741–753
Xiong J, Chen X, Yang Q, Chen L, Yao Z (2020) A task-oriented user selection incentive mechanism in edge-aided mobile crowdsensing. IEEE Trans Netw Sci Eng 7(4):2347–2360. https://doi.org/10.1109/TNSE.2019.2940958
Xiong J, Ma R, Chen L, Tian Y, Li Q, Liu X, Yao Z (2020) A personalized privacy protection framework for mobile crowdsensing in iiot. IEEE Trans Industr Inform 16(6):4231–4241
Xiong J, Zhang Y, Lin L, Shen J, Li X, Lin M (2017) ms-posw: a multi-server aided proof of shared ownership scheme for secure deduplication in cloud. In: Concurrency and computation practice and experience
Xiong J, Zhao M, Bhuiyan MZA, Chen L, Tian Y (2021) An ai-enabled three-party game framework for guaranteed data privacy in mobile edge crowdsensing of iot. IEEE Trans Industr Inform 17(2):922–933
Zhang C, Li W, Luo Y, Hu Y (2021) Ait: an ai-enabled trust management system for vehicular networks using blockchain technology. IEEE Internet Things J 8(5):3157–3169. https://doi.org/10.1109/JIOT.2020.3044296
Zhang C, Zhu L, Ni J, Huang C, Shen X (2020) Verifiable and privacy-preserving traffic flow statistics for advanced traffic management systems. IEEE Trans Veh Technol 69(9):10,336–10,347
Zhang K, Ni J, Yang K, Liang X, Ren J, Shen XS (2017) Security and privacy in smart city applications: challenges and solutions. IEEE Commun Mag 55(1):122–129
Zhang L, Jung T, Liu C, Ding X, Li XY, Liu Y (2015) Pop: privacy-preserving outsourced photo sharing and searching for mobile devices. In: 2015 IEEE 35th International conference on distributed computing systems. IEEE, pp 308– 317
Zhang L, Li XY, Liu K, Liu C, Ding X, Liu Y (2018) Cloak of invisibility: privacy-friendly photo capturing and sharing system. IEEE Trans Mob Comput 18(11):2488–2501
Zhang L, Li Y, Xiao X, Li XY, Wang J, Zhou A, Li Q (2018) Crowdbuy: privacy-friendly image dataset purchasing via crowdsourcing. In: IEEE INFOCOM 2018-IEEE Conference on computer communications. IEEE, pp 2735–2743
Zhang S, Yang G, Mu Y (2016) Linear encryption with keyword search. In: Australasian conference on information security and privacy. Springer, pp 187–203
Zhang Y, Deng RH, Zheng D, Li J, Wu P, Cao J (2019) Efficient and robust certificateless signature for data crowdsensing in cloud-assisted industrial iot. IEEE Trans Industr Inform 15(9):5099–5108. https://doi.org/10.1109/TII.2019.2894108
Zhao Y, Jiang H, Qin Y, Xie H, Wu Y, Liu S, Zhou Z, Xia J, Zhou F (2021) Preserving minority structures in graph sampling. IEEE Trans Vis Comput Graph 27(2):1–10
Zhou T, Xiao B, Cai Z, Xu M (2019) A utility model for photo selection in mobile crowdsensing. IEEE Transactions on Mobile Computing
Zhou T, Xiao B, Cai Z, Xu M, Liu X (2018) From uncertain photos to certain coverage: a novel photo selection approach to mobile crowdsensing. In: IEEE INFOCOM 2018-IEEE Conference on computer communications. IEEE, pp 1979–1987
Zhu L, Li M, Zhang Z, Qin Z (2018) Asap: an anonymous smart-parking and payment scheme in vehicular networks. IEEE Trans Depend Sec Comput 17(4):703–715
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Zhang, Y., Xiong, J. & Liu, X. Privacy-Preserving Traffic Violation Image Filtering and Searching via Crowdsensing. Mobile Netw Appl 27, 2374–2390 (2022). https://doi.org/10.1007/s11036-021-01882-7
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11036-021-01882-7