{"title":"嵌入加密硬件芯片的智能电网安全","authors":"Niraj Kumar, V. M. Mishra, Adesh Kumar","doi":"10.1109/PIECON56912.2023.10085792","DOIUrl":null,"url":null,"abstract":"Modern electric grids are innovative enough to incorporate high-speed sensing, distributed resources, and control, smart grids, and other cutting-edge metering technology. The smart grid faces a number of issues, including cybersecurity. The fact that communications are so crucial to the process of the smart grid makes cyber security a top priority. The research work focuses on the solution of grid security by integrating the embedded hardware chip into the communication infrastructure. The real-time chip integration with the newest cryptographic algorithm in the system addresses the hardware security challenges in smart grids. A distribution system for the smart grid that integrates technology can use cryptographic-based encryption and decryption technique. The objective of the research work is to design the cryptographic advanced encryption standard (AES) algorithm hardware chip for a smart grid in Xilinx 14.7 software and simulate the functionality of the embedded chip design with cryptographic encryption and decryption for ensuring secured data communication in a smart grid. The novelty of the work is that the design and simulation of the embedded chip of the secured data communication support 128 -bit data size with the key size alternating from 8-bit to 256-bit. The functional test cases have verified the grid data with a maximum frequency of 395.00 MHz.","PeriodicalId":182428,"journal":{"name":"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Smart Grid Security by Embedding Cryptography Hardware Chip\",\"authors\":\"Niraj Kumar, V. M. Mishra, Adesh Kumar\",\"doi\":\"10.1109/PIECON56912.2023.10085792\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Modern electric grids are innovative enough to incorporate high-speed sensing, distributed resources, and control, smart grids, and other cutting-edge metering technology. The smart grid faces a number of issues, including cybersecurity. The fact that communications are so crucial to the process of the smart grid makes cyber security a top priority. The research work focuses on the solution of grid security by integrating the embedded hardware chip into the communication infrastructure. The real-time chip integration with the newest cryptographic algorithm in the system addresses the hardware security challenges in smart grids. A distribution system for the smart grid that integrates technology can use cryptographic-based encryption and decryption technique. The objective of the research work is to design the cryptographic advanced encryption standard (AES) algorithm hardware chip for a smart grid in Xilinx 14.7 software and simulate the functionality of the embedded chip design with cryptographic encryption and decryption for ensuring secured data communication in a smart grid. The novelty of the work is that the design and simulation of the embedded chip of the secured data communication support 128 -bit data size with the key size alternating from 8-bit to 256-bit. The functional test cases have verified the grid data with a maximum frequency of 395.00 MHz.\",\"PeriodicalId\":182428,\"journal\":{\"name\":\"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-02-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PIECON56912.2023.10085792\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PIECON56912.2023.10085792","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Smart Grid Security by Embedding Cryptography Hardware Chip
Modern electric grids are innovative enough to incorporate high-speed sensing, distributed resources, and control, smart grids, and other cutting-edge metering technology. The smart grid faces a number of issues, including cybersecurity. The fact that communications are so crucial to the process of the smart grid makes cyber security a top priority. The research work focuses on the solution of grid security by integrating the embedded hardware chip into the communication infrastructure. The real-time chip integration with the newest cryptographic algorithm in the system addresses the hardware security challenges in smart grids. A distribution system for the smart grid that integrates technology can use cryptographic-based encryption and decryption technique. The objective of the research work is to design the cryptographic advanced encryption standard (AES) algorithm hardware chip for a smart grid in Xilinx 14.7 software and simulate the functionality of the embedded chip design with cryptographic encryption and decryption for ensuring secured data communication in a smart grid. The novelty of the work is that the design and simulation of the embedded chip of the secured data communication support 128 -bit data size with the key size alternating from 8-bit to 256-bit. The functional test cases have verified the grid data with a maximum frequency of 395.00 MHz.