2018美赛O奖论文F题-F87280-How much is your privacy information-解密.pdf
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For office use only
T1
T2
T3
T4
Team Control Number
87280
Problem Chosen
F
For office use only
F1
F2
F3
F4
2018 ICM
How much is your privacy information?
Summary Sheet
For ensuring the stability of the society, we establish a system of privacy pricing.
Task1, according to the personal characteristics and information field, we choose 26
indexes to measure privacy price, and divide them into 5 categories according to the degree
of correlation.
Task2, we price the privacy. The present value method is used to quantify the value of
privacy. We use the Analytic Hierarchy Process and Gradient Boosting Decision Tree,
through the Python language to calculate the coefficients of the parameters. Then we establish
Gauss mixture model to evaluate the information related value. Finally, the simulation of 500
people's privacy information is selected to verify the feasibility of the model.
Task3, we give the pricing method, introduce the demand elasticity coefficient, and
analyze that the privacy information is more flexible. Then the life cycle changes in a long
time range are predicted.
Task4, with the development of the times, the risk factor will be changed. We add
dynamic factors and use Matlab to fit the change function of the risk coefficient.
Task5, the value of privacy will increase with age and then stabilize at a certain level. We
find out the relationship between PI, IP and PP in the privacy market through a number of
literature searches.
Task6, we use small world model and dynamic game theory to do simulation and
prediction, and find that the privacy of individuals and groups will be largely leaked with the
development of market.
Task7, the impact of data leakage is long tail. The agency can use the actuarial model to
calculate the total amount of compensation to the individual.
Task8, we put forward some suggestions to the government on the basis of the model.
Finally, we perform a sensitivity test to verify the stability of the model.
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