Abstract
Aiming at the security problems caused by the access of a large number of new advanced metering system (AMI) equipment and the rapid growth of new business data interaction volume and interaction frequency, a lightweight data security protection method for power Internet of things (IoT) is proposed. Firstly, based on the “cloud-edge-end” AMI system architecture, a multilevel anonymous authentication method is proposed to reduce the complexity of low-end equipment access without reauthentication when smart meters and other devices access the system. Then, when fully homomorphic encryption is used for data encryption transmission, the lightweight packet recombination protocol is introduced, the lightweight hash function is used to reduce the calculation cost, and the sliding address window mechanism is used to reduce the packet loss rate. Finally, improved secure multiparty computing (SMPC) is used to achieve frequency hopping data aggregation, using shared key to calculate local shared value for key update, reducing data interaction between massive devices and AMI cloud security server, and improving broadband utilization in data aggregation process. The experiment results indicate that the proposed method obtained better utilization in bandwidth and shorter average data collection completion time. Besides, the proposed method can ensure the information security in the interaction process.
Highlights
Advanced measurement infrastructure (AMI) system collects power data from smart meters on the user side, carries out data analysis and diagnosis, and realizes the state monitoring of electricity meters in the power grid and the metering of users’ electricity consumption [1]
A grid node is used as the agent terminal of Internet of things (IoT), and the (N − 1) grid node is used as the device
Set the random number generator for data aggregation to generate 128-bit random numbers for identity verification. e data packet transfer rate, throughput, and the average data collection completion time are adopted as the comparison index. e data packet transfer rate is the ratio of the number of data packets received by the IoT agent terminal to the number of data packets sent by the device. e throughput is the total amount of data received by the IoT agent terminal per second
Summary
Advanced measurement infrastructure (AMI) system collects power data from smart meters on the user side, carries out data analysis and diagnosis, and realizes the state monitoring of electricity meters in the power grid and the metering of users’ electricity consumption [1]. (3) Improve the data aggregation processing of SMPC, use the shared key as the input of pseudorandom number generator in all terminal devices under the jurisdiction of each IoT agent terminal to calculate the local shared value, reduce data interaction, and improve the utilization rate of network bandwidth. N} be the reading of the end device i, encrypt it with the public key of the AMI cloud security server before transmission, that is, EncPK(qi), and aggregate the data of the device in the network, and the generated value yEG is transmitted to the AMI cloud security server by the IoT agent terminal: n. 3. Lightweight Data Aggregation Security Protection Method e proposed method uses full homomorphic encryption to generate the public key of each IoT agent terminal. The IoT agent terminal only needs to sign the result and send it to the AMI cloud security server, which will further reduce the data interaction between the mass terminal equipment and the AMI cloud security server, improve the broadband utilization rate in the data aggregation process, and reduce calculations overhead
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