Research On Privacy Protection Based On Homomorphic Encryption In IoT

With the rapid development of social and economic level and the improvement of network technology,people's requirements for the intelligentization of living environment and lifestyle have been further improved.At the same time,the demand for intelligent manufacturing in factories is also increasing.Therefore,intelligent control of living environment and lifestyle and intelligent manufacturing of industrial environment have very important practical significance and broad development prospects.The development of Internet of Things technology meets the needs of people and factories in this respect.But with the development of Io T technology,privacy issues have gradually become a key issue that hinders the application of Io T technology.In recent years,the issue of privacy has become a hot topic and has been discussed.Many people have also carried out some research in this area and proposed methods to protect privacy.Based on this background,the paper proposes two privacy protection methods based on homomorphic encryption in combination with two practical scenarios of parking space sharing and industrial intelligent manufacturing.In view of the privacy leakage problem in the Internet of Things,this paper combines two practical scenarios of parking space sharing and industrial trade to study this problem: First,for the privacy leakage problem caused by the untrusted server in the parking space sharing system,the server is not Privacy protection method based on homomorphic encryption in case of trust.Then,in view of the privacy leakage problem in the industrial parts trade,a matching method based on searchable encryption and homomorphic encryption is proposed.The main research contents of this article are as follows:(1)In order to effectively solve the problem of untrustworthy server in the parking space sharing system and ensure the perfect operation of the shared parking space system,this paper proposes an effective parking space sharing system based on homomorphic encryption.The system encrypts all the data that needs to be transmitted,and the part that needs to be matched by the server is also encrypted.The system will also introduce the concept of an intermediate platform.The main role of the intermediate platform is to complete the matching of suitable parking spaces based on the participant comparison protocol.In addition,the cooperation between the intermediate platform and the server also plays a role in safely returning the pairing result to the user.Finally,this paper uses simulated data sets for simulation experiments.The experimental results show that,in response to our requirements,the system can not only achieve a 100% matching success rate,but also significantly reduce the risk of privacy leakage.(2)In order to effectively solve the privacy protection problem in the Industrial Internet of Things,this paper proposes an industrial trading system based on homomorphic encryption and searchable encryption.The system combines searchable encryption and homomorphic encryption to perform operations on the data under encryption,to a certain extent protect the privacy of all participating entities.Finally,this paper analyzes the efficiency and safety of the method in detail,and uses experiments to simulate the process of the system.The experimental results show that for the requirements given in this paper,the system can achieve a 100% success rate and effectively reduce the risk of privacy leakage.