A Secure Data Aggregation Scheme Based On Homomorphic Encryption In Smart Grid

The industrial control system has been widely used in the power grid, and it makes the controlling of power system and communications among the power system tend to be more smart. The smart grid ensures the two-way flow of information and power among all the nodes, which is from the power plant to the terminal users of the whole distribution in the process by using digital communication and control technology to monitor and control every user and node. The smart grid improves the efficiency of energy industry. However, it brings some security threats and challenges inevitably, such as message injection attacks, message tampering, denial of service attack(Dos), leakage of user privacy, the large amount of data and so on. If we don’t protect the privacy data effectively, an attacker can obtain the user’s privacy information by analyzing the data transmitted in the network, or attack power facilities and systems, even other criminal offence, such as theft and robbery, which is a serious threat to the user’s safety of life and property.Due to the aforementioned problem, researchers raised the mind of using encryption and authentication technique to protect privacy information in smart grid. However, most of the existing privacy-preserving authentication schemes in smart grid are not perfect. For example, the overhead of computation and communication message in authentication is heavy, and an attacker can attack easily. Therefore, they can not provide enough efficiency and security features.In this research issue, we propose a secure and efficient privacy-preserving scheme with signature aggregation and key updating to tackle the problems in smart grid, and testify the correctness of the scheme by programming on Tinyos. The scheme we proposed is an efficient privacy-preserving scheme with demand response, which realizes the confidentiality and integrity of users’ privacy data. In our scheme, key updating can ensure the data is forward secure, and the computational and communicational cost can be reduced by aggregating the signature. In addition, in order to analyze, compare and adjust the generation and distribute of electricity, users transmit both the actual data and the demand data.On this basis, we analyze the security and performance of the proposed scheme. The results show that our scheme has lower communication and computation overhead comparing with the existing schemes, has lower network delay and higher message authentication ratio, could provide more comprehensive and security properties.