Research On Service Matching And Privacy Protection Method For Mobile Internet Of Things

Along with the development of mobile internet of things, the service requirements aremore and more. How to provide high quality services to meet user needs and good securityprivacy has become a hot issue. This paper studied solutions regarding the service matchingand privacy protection, which is the hot issue under the background of mobile contentnetworking.First, through the study and research of existing mainstream service discovery protocol,found its shortage, this paper proposed a kind of service matching algorithm based on thesemantic information oriented mobile internet of things. The algorithm considers the QoS(Quality of Service) and the degree of user preferences, through the hierarchical matching toimprove the success rate of service matching, so as to provide high quality service for users.And through the contrast with past elastic matching algorithm, verified the precision andrecall ratio of new algorithms has improved.Then, through the research and analysis of the current mainstream privacy protectionmodel, according to the special application of mobile internet of things, this paper consideredthe two aspects including the position information and the user’s querying contents of privacyprotection. For the protection of the location information, this paper proposed the cloakingregion generation algorithm GBCRGA (Gird-based Cloaking Region Generate Algorithm),which is on the basis of the existing position k-anonymous model, and used the method ofanonymous fuzzy space. For the privacy protection of querying contents, through the researchand study of secure multi-party computation model, this paper used the RSA asymmetric keyencryption algorithm. Through the combination of the two methods, could achieve a bettereffect of privacy protection.Finally, according to the previous study, for the application environment of the mobileinternet of things, this paper implemented a system of LBS (Location-Based Service) orientedthe mobile internet of things, which is designed under the workbench of Android. This systemis used to obtain and record the user’s position information, show user’s trajectory and has afunction of navigation. Also a running test is taken for the system.