A Secure and Verifiable Continuous Data Collection Algorithm in Wireless Sensor Networks

Data collection is a key operation in wireless sensor networks. In view of the privacy-preserving problem of the existing data collection schemes, this paper proposes a secure and verifiable continuous data collection algorithm (SVCDC) in wireless sensor networks. Taking the temporal correlation of sensory data into consideration, SVCDC reconstructs multiple sensory data in one period, which can effectively decrease data traffic, and then by encrypting the reconstructed data, SVCDC ensures the privacy of the sensory data. In addition, in SVCDC, the “fingerprint” of sensory data is generated, aggregated and transmitted to Sink. Then, Sink extracts the “fingerprint”, which ensures the verification of the integrity and timeliness of each node’s sensory data and the detections of attack such as replaying or discarding data. Since the “fingerprint” is aggregated and much shorter than the original data, the communication cost of “fingerprint” is low. Theoretical analysis and experimental results show that SVCDC has advantages in traffic.