An Improving Approach For Location Anonymizer Base On Privacy Enhancing Technogies In Location-Based Services

In the Location Based Services (LBS) system, the location anonymizer (LA) is responsible for the anonymous users identity, and to receive and process the query information that is send by users, and prevent sensitive information leakage caused by the users identity, and the disposed information are transferred to location service provider (LSP) to inquiries the results, final,the results will be forwarded to the users. Therefore, LBS is reliable depends largely on the ability of the protect privacy of LA. Then, in the existing LBS systems do not have a satisfactory mechanism to evaluate the performance of LA, but also provide location services to users of LSP is not always fully trust, which the LBS security challenges. Therefore, the establishment of an effective location privacy solutions to enhance LA's privacy protection is particularly important and urgent, which is a hot research in LBS nowadays.This paper analyzes the location of the existing solutions on the basis of privacy, a new privacy protection programs.Most of the existing systems adopt the mechanism of satisfying k-anonymity which means that the exact information of the true user hide among k-1 other users. These systems usually propose the usage of a LA to achieve k-anonymity. In this paper we show that satisfying k-anonymity is not enough in preserving location privacy violation. In our paper, we propose a new definition of privacy with the name is s-proximity on the basis of the shortcomings of k-anonymity,and thus propose a new enhanced privacy features:(k, s, Amin). We adopt a new algorithm to create a anonymous set(AS) which is both meet s-proximity and k-anonymous,and it is will be enhanced the ability of the protect privacy of AS by reducing the probability of re-identification. We show that it is practical and it can be incorporated efficiently into existing systems to make them secure. We also propose a trusted third party privacy solutions configuration of an additional functions is superior to the traditional LA structure, effectively improve the credibility of LA, and the improve the ability of generalize the query to prevent the user's identity inferring.The simulation experiment results show that this proposed resolution can effectively improve the ability of privacy protection of the LA on the location services, and it can provide better privacy protection of users'personal privacy, and it also effectively prevent disclosure of personal privacy caused by the illegal attacks of the malicious adversary, and it can be effectively applied to LBS systems...