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.

数据收集是无线传感器网络中的关键操作。针对现有数据采集方案的隐私保护问题，提出了一种安全可靠的无线传感器网络连续数据采集算法。考虑到感觉数据的时间相关性，SVCDC在一个周期内重建了多个感觉数据，可以有效地减少数据流量，然后通过对重建的数据进行加密，SVCDC确保了感觉数据的私密性。此外，在SVCDC中，感官数据的“指纹”会生成，汇总并传输到Sink。然后，Sink提取“指纹”，以确保验证每个节点的感觉数据的完整性和及时性，以及检测攻击（例如重放或丢弃数据）。由于“指纹”是聚合的并且比原始数据短得多，因此“指纹”的通信成本很低。理论分析和实验结果表明，SVCDC在流量方面具有优势。