The Research On Smart Grid Privacy Protection Method

Smart Grid is the next generation power grid that is built on high-speed bi-directional communication network and tightly integrated with underlying p ower infrastructures.With the help of optimized control and comprehensive security policies,smart grid can support better information exchanges between utility companies and end-users,and is able to achieve goals like security,high reliability,and efficiency,etc.The high degree of automatons in smart grid can improve the efficiency of power generation and distribution,make the system more robust,and enable the sustainable development of the whole power industry.However,the frequent data exchanging within smart grids can also lead to various system security and user privacy problems,which makes it important to protect such data within power grid.Two new privacy protection schemes are proposed in this thesis based on the analysis of challenges faced by modern power grid as well as the strength and limitations of existing solutions.The first proposed schemeis built on randomized masking numbers and certificateless aggregate signature approach,which leverages the structures of smart grid to hide the real power usages of users and ensure the safety of data transmissionthus protect users’ privacy.With randomized masking numbers,attackers could not get the true energy consumption s,and thus are unable to infer user’s private information such as user’s ongoing activities.what’s more,by adding rules for generating randomized masking numbers,the user’s correct total power consumption in billing cycle and the general power of each region can be ensured.With certificateless aggregate signature scheme,data can be encrypted and authenticated security.The theoretical analysis and simulation results showed that the proposed method can protect user’s privacy.The second approach uses homomorphic encryption s cheme to encrypt data and reduce the computational overhead.It uses message authentication code to perform data integrity checking.By verifying the integrity of the data with polymerization message authentication codes and aggregating secure losslessdata,it can get the correct data of user’s total power consumption and the general power of each region,meeting thedata demand of smart grid.Security analysis showed that this method can protect confidentially and integrity and prevent illegal aggregation.The result of experimental simulation shows that this scheme has higher computational efficiency.