Abstract
The existing cloud storage methods cannot meet the delay requirements of intelligent devices in the power distribution Internet of Things (IoT), and it is difficult to ensure the data security in the complex network environment. Therefore, a data Security Storage method for the power distribution IoT is proposed. Firstly, based on the “cloud tube edge end” power distribution IoT structure, a cloud edge collaborative centralized distributed joint control mode is proposed, which makes full use of the collaborative advantages of cloud computing and edge computing to meet the real-time requirements. Then, a distributed data storage method based on the Kademlia algorithm is proposed, and the homomorphic encryption and secret sharing algorithm are used to store the data in the cloud as ciphertext and perform data query directly on the ciphertext. Finally, considering the heterogeneity of edge nodes, the security protection model of edge nodes based on noncooperative differential game is established, and the algorithm of optimal defense strategy of edge nodes is designed to ensure the security of edge nodes. The experimental results show that the proposed method obtained excellent query performance, and the ability to resist network attacks is better than other comparison methods. It can reduce the data storage and query delay and ensure the data security of the system.
Highlights
As the core manifestation of the application in the field of power Internet of Things (IoT), the power distribution IoT in cyber-physical energy systems is responsible for the visual perception of the state of the distribution network, the IoT to manage and control the distribution network equipment, the opening of the distribution service capabilities, and the sharing of distribution network data [1]
The innovation of the proposed method is as follows: (1) In view of the fact that the distribution cloud master station cannot meet the demand of massive terminal data request delay, the proposed method is based on the “cloud-tube-edge-end” power distribution IoT structure in cyber-physical energy systems and proposes a cloud edge collaborative control mode, which makes full use of the coordination of cloud and edge computing to improve the efficiency
Edge1-4 is equipped with Intel Xeon CPU e3-1220 (3.00 GHz) and 32 GB random access memory (RAM), while edge5-6 is equipped with Intel Xeon CPU e5620 (2.40 GHz) and 24 GB RAM; a MacBook Pro equipped with Intel Core i9-9880h and 16 GB RAM is used as the IoT consumer
Summary
As the core manifestation of the application in the field of power Internet of Things (IoT), the power distribution IoT in cyber-physical energy systems is responsible for the visual perception of the state of the distribution network, the IoT to manage and control the distribution network equipment, the opening of the distribution service capabilities, and the sharing of distribution network data [1]. Edge computing allows devices to complete data collection and preprocessing in the local network by deploying edge computing devices close to the data source, thereby overcoming the problems of low processing speed and large transmission delay for massive native data in cloud computing [7]. The edge computing nodes in the power distribution IoT use edge intelligent terminals to complete the collection, aggregation, and model processing of IoT device data to meet the response requirements of low-latency applications [8]. In the power distribution IoT, the edge intelligent terminals are deployed near the power grid line data source to provide computing services, which has the advantages of real-time and efficiency [10, 11]. It is meaningful to study the security protection of the distributed storage of the power distribution IoT to ensure the safety and reliability of the grid data
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