Abstract
With the widespread application of location-based services, users 'privacy concerns have become the focus of users' attention. Based on the k-anonymity method and the SpaceTwist algorithm, this paper proposes a method of incremental inquiry user privacy protection. The method preliminarily anonymizes the user's location information and points of interest on the client side, On the anonymous server side, combining the road network environment with the latitude and longitude grid generates the minimum anonymous area of random loop, instead of the user initiating incremental inquiry to the location service provider, Anonymous zones ensure k-anonymity for mobile users and road information to protect user privacy. Security and experimental analysis show that this scheme can improve the effectiveness of user query service while meeting the privacy requirements of users.
Highlights
With the rapid development of mobile Internet and mobile terminal technologies, location-based services have become a basic function of mobile terminals and are widely used
Where in id indicates the unique request identifier of the user, and AMIN indicates the minimum anonymous zone set by the user and the location service provider can know the minimum range of the mobile user
After the anonymous server generates the anonymous zone for the mobile user, it needs to initiate a query for the mobile user to the LBS
Summary
With the rapid development of mobile Internet and mobile terminal technologies, location-based services have become a basic function of mobile terminals and are widely used. The attacker may cooperate with the location service provider to steal and inquire the user's privacy information and query logs, and may further analyze the user's POI (point of interest), hobbies, place of residence and other private information. When a mobile user queries his nearest eye hospital, the attacker syndication location server provider obtains the location information of the user and the inquiry information, so as to infer that the user is a sensitive group of ophthalmic diseases and push spamming for the user. This shows that user privacy protection is very important
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