曾杨Zeng Yang

重庆市渝南自来水有限公司，重庆 401320

Chongqing Yunan Water Supply Co., LTD., Chongqing 401320

摘要：智慧水务大数据平台的数据来源于底层传感器设备。在实际场景中，数据侧部署量化采集终端实现传感器数据的批量收集，但该方式存在内部泄露或网络攻击等安全隐患导致数据篡改风险。因此，如何确保数据不被篡改及篡改行为的及时感知是水务大数据信息安全采集领域待解决的重要问题。基于上述原因，本文提出了一种基于分布式存储的水务大数据监管方法。该方法通过轻量化采集终端将传感器设备的采集数据构建成哈希树。以智慧水务大数据平台私钥用于哈希树签名，将签名等信息存储于网络内所有节点，实现分布式存储，并且所有节点共同维系一个账本，账本内每批次数据打包形成链式架构。同时，由于账本存储了哈希树，通过比对哈希树与采集数据的哈希集合，从而验证数据的真实性，及时发现数据篡改行为，定位数据篡改内容。

Abstract: The data of the smart water big data platform comes from the underlying sensor equipment. In the actual scenario, the quantitative acquisition terminal is deployed on the data side to realize the batch collection of sensor data, but this method has the risk of data tampering due to hidden security risks such as internal leakage or network attacks. Therefore, how to ensure that the data is not tampered with and the timely perception of the tampering behavior is an important problem to be solved in the field of water big data information security collection. Based on the above reasons, this paper proposes a water big data supervision method based on distributed storage. This method constructs the acquisition data of the sensor device into a hash tree through a lightweight acquisition terminal. The private key of the smart water big data platform is used for hash tree signature, The information such as signature is stored in all nodes in the network to realize distributed storage, and all nodes can maintain a ledger together, and each batch of data in the ledger is packaged to form a chain architecture. At the same time, because the ledger stores the hash tree, by comparing the hash tree with the hash collection of the collected data, the authenticity of the data is verified, the data tampering behavior is found in time, and the data tampering content is located.

关键词：分布式存储；哈希算法；哈希树；共识算法；物联网；智慧水务

Key words: distributed storage; hash algorithm; hash tree; consensus algorithm; Internet of things; intelligent water