A node determination method and device for cooperative privacy protection

Abstract

Embodiments of the present invention provide a node determination method and device for cooperative privacy protection. The method is applied to each first node, including: sending an information query request to the network; identifying the LBS server and the second node that respond as the first node's candidate strategy node; randomly selecting a candidate strategy node, marking is the current strategy node of the first node, when all first nodes have current strategy nodes, calculate the utility value of the current strategy node; calculate the utility values ​​of all candidate strategy nodes except the current strategy node, and correspond the maximum utility value to The candidate policy node of the first node is marked as the first candidate policy node of the first node; the policy node corresponding to the current policy node and the maximum utility value of the first candidate policy node is updated as the current policy node; the current policy of all first nodes When the node does not change any more, the current policy node of each first node is determined as the target policy node of the first node.

Description

technical field [0001] The invention relates to the technical field of network privacy security protection, in particular to a node determination method and device for collaborative privacy protection. Background technique [0002] With the rapid development of communication technology, mobile network and smart handheld terminals, location-based services (Location Based Service, LBS) are widely used. LBS brings great convenience to people's life. Users can share or obtain information through mobile applications. Various information in different points of interest (Point of Interest, POI). For example, users can find restaurants, leisure places, etc. they are interested in by providing location information to mobile applications, and users can also share pictures of the area when visiting certain places. [0003] In practical applications, when a user needs to obtain interested information based on the LBS service, the user needs to send an information query request to the L...

AI Technical Summary

Problems solved by technology

[0005] However, in this method of privacy protection through caching, the user randomly selects a user node that caches information as the target node for user information acquisition. When the selected target node is untrustworthy, the untrustworthy target node may collect and send information Query the requested user's private information, and then use the collected private information to perform inference attacks to infer and learn the user's real private information, resulting in the leakage of the user's privacy

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