Data aggregation masks individual entries by summing values, thus preventing the disclosure of private information. Multi-subset data aggregation divides subsets according to the range of data and collects the aggregated values of each subset. This provides the data control center with granular data. If data aggregation loses its verifiability, it becomes impossible to confirm the authenticity of messages or detect any tampering. This vulnerability could lead to an increased incidence of data tampering attacks across the system. Furthermore, a centralized control center is prone to disruptions due to natural disasters or malicious attacks, creating a single point of failure that may cause service interruptions and data loss. This could result in service interruptions and data loss. Therefore, we propose a robust and verifiable multi-subset data aggregation scheme. In this scheme, ciphertext information is transmitted to multiple control centers in the form of shards, and the aggregation results are recovered through cooperation between control centers. The security analysis demonstrates the protocol could resist collusion attacks and single points of failure. Experimental analysis indicates that the scheme is feasible.

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VRMDA: Verifiable and Robust Multi-subset Data Aggregation Scheme in IoT

  • Jianying Li,
  • Shuo Zhou,
  • Yining Liu

摘要

Data aggregation masks individual entries by summing values, thus preventing the disclosure of private information. Multi-subset data aggregation divides subsets according to the range of data and collects the aggregated values of each subset. This provides the data control center with granular data. If data aggregation loses its verifiability, it becomes impossible to confirm the authenticity of messages or detect any tampering. This vulnerability could lead to an increased incidence of data tampering attacks across the system. Furthermore, a centralized control center is prone to disruptions due to natural disasters or malicious attacks, creating a single point of failure that may cause service interruptions and data loss. This could result in service interruptions and data loss. Therefore, we propose a robust and verifiable multi-subset data aggregation scheme. In this scheme, ciphertext information is transmitted to multiple control centers in the form of shards, and the aggregation results are recovered through cooperation between control centers. The security analysis demonstrates the protocol could resist collusion attacks and single points of failure. Experimental analysis indicates that the scheme is feasible.