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Using fine-grained data analysis, non-invasive load monitoring (NILM) can reveal the detail of electricity customers’ habits, which is helpful in the improvement of refined management and better user experience. However, the possibility of electricity customers’ privacy leak is also gradually increasing, and the security of NILM data has become a priority problem to be solved. To protect the privacy disclosure of NILM data, this paper analyzes the NILM privacy leak problems and ways in which information leak occurs faced by NILM data. On the basis of the comprehensive survey of cryptographic algorithms to choose the most appropriate data security method for NILM, a hybrid cryptography scheme was proposed to protect the data security. In the scheme, symmetric algorithm AES (Advanced Encryption Standard) was used to encrypt data for high efficiency, and asymmetric algorithm RSA (Rivest-Shamir-Adleman) was used to encrypt AES key for identity authentication. The classical algorithm HMAC-SHA1 (Hash Message Authentication Codes-Secure Hash Algorithm 1) was further developed to guarantee the integrity of data. By transplanting the algorithm into STM32 MCU (STMicroelectronics 32 bit Micro Controller Unit) for performance test and using Visual studio 2017 + QT tools to develop the test interface, one optimal operation mode was selected for the scheme. At the same time, the effectiveness of the scheme was verified, and the scheme computing cost depended on the efficiency of encryption and decryption, or signature and verification of the RSA algorithm.
Ruijue Feng; Zhidong Wang; Zhifeng Li; Haixia Ma; Ruiyuan Chen; Zhengbin Pu; Ziqiu Chen; Xianyu Zeng. A Hybrid Cryptography Scheme for NILM Data Security. Electronics 2020, 9, 1128 .
AMA StyleRuijue Feng, Zhidong Wang, Zhifeng Li, Haixia Ma, Ruiyuan Chen, Zhengbin Pu, Ziqiu Chen, Xianyu Zeng. A Hybrid Cryptography Scheme for NILM Data Security. Electronics. 2020; 9 (7):1128.
Chicago/Turabian StyleRuijue Feng; Zhidong Wang; Zhifeng Li; Haixia Ma; Ruiyuan Chen; Zhengbin Pu; Ziqiu Chen; Xianyu Zeng. 2020. "A Hybrid Cryptography Scheme for NILM Data Security." Electronics 9, no. 7: 1128.
Due to the diversity and complexity of distribution networks, the classical modular software development method may face the difficulty in modular division, data sharing and collaboration of different specialties. Inspired by the idea of separating the control plane from the data forwarding plane in software-defined networking (SDN), a method of power data virtual plane is proposed in this paper to improve software development efficiency. Layered processing of power data virtual plane is designed to meet the diversity characteristics of intelligent distribution network and the multi-source and heterogeneous characteristics of information. This paper introduces the design idea and implementation process of virtual plane in detail. The main component of the power data virtual plane, power data warehouse and application scheduling are presented. Finally, the performance of the proposed virtual plane method is verified by practical distribution network examples with different communication networks and information.
Zhidong Wang; Yingdong Ni; Zifan Zhang; Gan Wang; Zhifeng Chen; Fengqiang Deng; Zhengbin Pu; Ling Yang; Yongjun Zhang; Ruijue Feng; Lin Guo; Wang; Ni Yingdong; Zhang. Intelligent Distribution Network Information Processing Based on Power Data Virtual Plane. Applied Sciences 2020, 10, 736 .
AMA StyleZhidong Wang, Yingdong Ni, Zifan Zhang, Gan Wang, Zhifeng Chen, Fengqiang Deng, Zhengbin Pu, Ling Yang, Yongjun Zhang, Ruijue Feng, Lin Guo, Wang, Ni Yingdong, Zhang. Intelligent Distribution Network Information Processing Based on Power Data Virtual Plane. Applied Sciences. 2020; 10 (3):736.
Chicago/Turabian StyleZhidong Wang; Yingdong Ni; Zifan Zhang; Gan Wang; Zhifeng Chen; Fengqiang Deng; Zhengbin Pu; Ling Yang; Yongjun Zhang; Ruijue Feng; Lin Guo; Wang; Ni Yingdong; Zhang. 2020. "Intelligent Distribution Network Information Processing Based on Power Data Virtual Plane." Applied Sciences 10, no. 3: 736.