An Accountable Anonymous Data Aggregation Scheme for Internet of Things
This addresses privacy issues for IoT users who are reluctant to share sensitive data, but it appears incremental as it builds on existing aggregation methods.
The paper tackles the problem of privacy concerns in IoT data sharing by proposing an efficient and accountable anonymous data aggregation scheme, showing it is more efficient than previous protocols, especially for multiple providers, with results from simulations on execution time and communication overhead.
The Internet of Things (IoT) has become increasingly popular in people's daily lives. The pervasive IoT devices are encouraged to share data with each other in order to better serve the users. However, users are reluctant to share sensitive data due to privacy concerns. In this paper, we study the anonymous data aggregation for the IoT system, in which the IoT company servers, though not fully trustworthy, are used to assist the aggregation. We propose an efficient and accountable aggregation scheme that can preserve the data anonymity. We analyze the communication and computation overheads of the proposed scheme, and evaluate the total execution time and the per-user communication overhead with extensive simulations. The results show that our scheme is more efficient than the previous peer-shuffle protocol, especially for data aggregation from multiple providers.