Research on privacy protection strategies in distributed crowdsourcing system

Tianxiang Xu; Chang Liu

doi:10.1117/12.2681603

1 June 2023 Research on privacy protection strategies in distributed crowdsourcing system

Tianxiang Xu, Chang Liu

Proceedings Volume 12718, International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2023); 1271804 (2023) https://doi.org/10.1117/12.2681603
Event: International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2023), 2023, Nanjing, China

Abstract

Distributed crowdsourcing platforms technology has been widely used in existing applications based on network including Amazon, eBay and Alibaba. Apparently, current distributed method can response almost requests immediately when the system received and prevent almost attacks from malicious users and make the whole platforms with high robustness. However, the privacy information attack can hardly be prevented by distributed servers and may cause serious damage for individuals due to all servers contain the privacy information from the platform users by current system structure. In this paper, we propose a novel privacy information protocol for distributed crowdsourcing systems and simulated our method in the real crowdsourcing system to evaluate the performance of our mechanism. From our extensive experimental result, we can conclude that our proposed method can prevent the information leakage from malicious attackers and guarantee the security of the whole crowdsourcing system with reasonable communication and computation costs.

Citation Download Citation

Tianxiang Xu and Chang Liu "Research on privacy protection strategies in distributed crowdsourcing system", Proc. SPIE 12718, International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2023), 1271804 (1 June 2023); https://doi.org/10.1117/12.2681603

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