1（School of Software,Central South University,Changsha 410075,China）2（School of Information Science and Engineering,Central South University,Changsha 410083,China）3（School of Computer Science and Engineering,Hunan University of Science and Technology,Xiangtan 411201,China）4（College of Computer Science and Educational Software,Guangzhou University,Guangzhou 510006,China）
Abstract：With the development of Internet of things,intelligent equipment and global positioning system,the location based service became more and more popular in the field of Internet of things,but the privacy disclosure are a serious threat to users.Therefore,this paper studied the location privacy protection method of the Internet of things from the following aspects.Firstly,the concept of r-anonymity was proposed,it generated a series of similar trajectory set S in advance,which was used to hide a node's real trajectory.Secondly,this paper combined kanonymity and s-road segment to protect the node's privacy.Finally,a new time confusion technique was introduced,which broke the sequence of the query issuing time to confuse the location based service,by sending a query randomly from the trajectory set S.Although the obfuscation process for providing strong trajectory privacy protection incurs randomness,the experimental results show that it can ensure the correctness of the query results in a finite computational cost.
2017, Vol. 38 
