A generalization method of road network environment location based on entropy
A technology of environmental location and road network, applied in the direction of data exchange network, digital transmission system, electrical components, etc., can solve the problem of lack of constraints of distribution characteristics, achieve the effect of small scale and improve safety
Active Publication Date: 2017-03-15
SOUTHEAST UNIV
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However, the model has the following problems: the model lacks constraints on the distribution characteristics of the mobile objects in the subnet in the generalized subnet, which makes it possible for the attacker to use part of the distribution information of the mobile objects to launch attacks
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[0024] In order to make the technical means, creative features, goals and effects achieved by the present invention easy to understand, the present invention will be further elaborated below in conjunction with specific embodiments and accompanying drawings.
[0025] like image 3 The road network G shown is composed of 14 nodes (hollow circles) and 19 road sides. The black circles on each side correspond to mobile users on the road, and there are 16 users in total. The three threshold parameters are set by the user who makes the generalization request, and they are all positive integers. The larger the value, the stronger the constraint and the higher the security. According to the generalization request, the user sets k=4, l=3, and d=2 according to his own security requirements for the generalized subnet, which means that the trusted third-party server finally generates a generalized subnet containing more than 4 users ( Including the user himself), the subnetwork is compos...
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The invention discloses a road network environment position generalization method based on the entropy. The road network environment position generalization method based on the entropy comprises the following steps that a credible third party server stores road network information, a mobile user submits the position of the mobile user and privacy protection restraining conditions based on the entropy to the credible third party server, and the credible third party server generalizes the position of the mobile user according to the privacy protection restraining conditions based on the entropy of the user and generates a generalized road sub-network containing the position of the mobile user to replace the specific position of the user, so that the possibility that an attacker can reversely deduce the position of the user is lowered, and the privacy protection restraining based on the entropy of the mobile user is achieved. The road network environment position generalization method based on the entropy describes the restraining of the user on a mobile object in the generalized road sub-network on the aspect of the road distribution structure through the information entropy, and prevents the attacker from launching an attach through the mastered part of mobile object distribution information.
Description
technical field [0001] The invention relates to a position coordinate generalization method, in particular to an entropy-based position coordinate generalization method in a road network environment. Background technique [0002] In recent years, services based on location information have been widely used in computer application fields, such as GPS navigation, spatial information query and so on. Most of these applications require the mobile user to configure a device (such as a GPS terminal) that can obtain the location information of the user's location (2-dimensional latitude and longitude coordinates). The mobile user sends the current location coordinates to the service provider, and the service provider returns information about the location of the mobile user. Related services, for example, mobile users submit their location coordinates to the server to obtain several gas stations closest to their location, etc. As users pay more and more attention to individual pri...
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IPC IPC(8): H04L29/06H04L12/701
Inventor 倪巍伟马中希陆介平
Owner SOUTHEAST UNIV