An Optimization Selection Research Based on Personalized Space Anonymous Algorithm

doi:10.3969/j.issn.1671-1122.2015.02.005

Abstract

Abstract:

The algorithm of Bottom and Top-Downgrid are high-performance anonymous algorithm based on grid-partitioning space. Different algorithm needs different parameter criteria, such as iterations, the size of anonymous area, and the degree of users’ anonymity. These parameters have great impact on query quality, but all of them are contrary. When mobile users transmit location service request under different situations, they may have their own individual requirements about these parameters. To solve the problem, this paper gives an idea of optimal choice based on personalize space anonymous algorithm. Firstly, the method mathematical modeling analysis these parameters based on AHP. Secondly, it structure a straight reciprocal matrix based on the user’s review of these three criteria and check the consistency. Lastly, experiments and simulations are performed to calculate the weight of Bottom and Top-Downgrid, then chose the algorithm with bigger weight. The method of optimal choice based on these two algorithms not only satisfies the demand of k-degree, but also conform to the user’s need in different situations.

Key words: location privacy, grid-partitioning space, AHP, optimal choice

CLC Number:

TP309

Hai-chuan ZHANG, Ze-mao ZHAO, Yu-jie TIAN. An Optimization Selection Research Based on Personalized Space Anonymous Algorithm[J]. Netinfo Security, 2015, 15(3): 23-27.

Figures/Tables 10

References 17

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