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A dynamic game access control reward and punishment incentive constraint method

An access control and dynamic game technology, applied in special data processing applications, instruments, electronic digital data processing, etc., can solve problems such as unsatisfactory behavior of dishonest entities and no rational choice strategy involving entity behavior

Active Publication Date: 2019-06-07
BEIJING UNIV OF TECH
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AI Technical Summary

Problems solved by technology

[0003] At present, the incentive and restraint mechanism for the behavior of network interactive entities under different network environments has been solved, but there is no rational choice strategy involving the behavior of entities, and the effect in curbing the behavior of dishonest entities is not ideal.

Method used

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  • A dynamic game access control reward and punishment incentive constraint method
  • A dynamic game access control reward and punishment incentive constraint method
  • A dynamic game access control reward and punishment incentive constraint method

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Embodiment Construction

[0013] Trust-Based Access Control Game Model

[0014] Under the condition of incomplete information, the behavior of the interview object to use its experience to judge the trust of the subject is in line with the Bayesian dynamic game model of incomplete information. Therefore, a "trust-based access control game model" G(N, θ, S, P, U) is established, and its game tree form is obtained according to the basic idea of ​​Harsanyi transformation as figure 1 As shown, the specific meaning of the parameters is as follows:

[0015] (1) N={S, O} is the set of players participating in the interactive game, that is, the subject Subject and Object participating in the visit interaction;

[0016] (2) θ=θ s ×θ o , θ is the set of game type space;

[0017] (3) S=S s ×S o , S is the set of game action strategies under the game type θ, where is the set of action strategies of the access subject S, is the set of action strategies for accessing the object O;

[0018] (4) P: θ→[0, 1]...

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Abstract

The invention discloses a dynamic game access control reward and punishment incentive constraint method. Aiminh at an interactive access behavior that a network interaction entity is not honesty cooperation in an open network environment, A dynamic access control game model based on trust is established, an interactive entity is promoted to reasonably select a strategy expected by a system (designer) under the driving of own interests through a designed reward and punishment incentive constraint mechanism, and an overall balance state between entities meeting the requirements of a target (access control strategy) is realized.

Description

technical field [0001] The invention belongs to the technical field of mechanism design, and in particular relates to a dynamic game access control reward-punishment incentive constraint method. Background technique [0002] Mechanism design theory is the fastest-growing branch of research in the field of science in the past 20 years. The research on mechanism design theory originated from the 2007 Nobel Prize winner in economics—Leo Hurwitz, a professor of economics at the University of Minnesota in the United States in 1960. and groundbreaking work in 1972. For any given (economic, social or system) goal, under the conditions of decentralized decision-making such as free choice, rational voluntariness, and incomplete information, the individual interests of the participants in the behavior are consistent with the established goal through mechanism design. [0003] At present, the incentive and restraint mechanism for the behavior of network interaction entities under diff...

Claims

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Application Information

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IPC IPC(8): H04L29/06G06F17/50
Inventor 赵斌肖创柏古雪
Owner BEIJING UNIV OF TECH
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