Grey fuzzy comprehensive evaluation-based trust quantization method

A comprehensive evaluation, gray fuzzy technology, applied in the direction of instruments, electrical digital data processing, computer security devices, etc., can solve the problems of large errors and ambiguity

Inactive Publication Date: 2010-12-22
BEIJING UNIV OF TECH
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Due to the characteristics of trust, such as subjectivity and ambiguity, this method often leads to large errors

Method used

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  • Grey fuzzy comprehensive evaluation-based trust quantization method
  • Grey fuzzy comprehensive evaluation-based trust quantization method
  • Grey fuzzy comprehensive evaluation-based trust quantization method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0055] Assume that in a distributed environment, the object of a visit is Object, the subject is Subject, and the number of trust evaluation "experts" is n=4.

[0056] The trust quantification steps are as follows:

[0057] (1) The trust evaluation set is: {do not trust, do not trust but not sure, trust but not sure, trust}. The division of trust evaluation intervals is shown in Table 2:

[0058] Table 2 Trust interval division

[0059]

[0060] (2) Using the random selection method, select 4 object nodes that the Subject has visited in history, and record them as: Object 1 、Object 2 、Object 3 and Object 4 , together with Object to form an evaluation "expert" on the trust of Subject in this visit.

[0061] (3) Evaluation indicators are credit and reputation. Object reads the latest credit value and reputation value of the Subject and the selected 4 "expert" nodes, and the reading results are shown in Table 3:

[0062] Table 3 The latest credit value and reputation v...

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Abstract

The invention discloses a grey fuzzy comprehensive evaluation-based trust quantization method, which belongs to the computer security field and is used for solving the trust quantization problem when an entity accesses resources in a distributed environment. Aiming at dynamics and fuzziness of trust, the invention provides the grey fuzzy comprehensive evaluation-based trust quantization method. When the behavior of a main body is changed, the trust quantization value of the main body is changed therewith. An object node accessed by the main body is randomly selected, the object node and the current accessed object are taken as 'experts' for evaluating the trust of the main body to comprehensively evaluate the behavior of the main body, and the specific trust value is calculated according to a trust interval corresponding to the evaluation result. The method can well evaluate the trust degree of the main body and reasonably quantize the trust degree. The randomly selected evaluation experts can avoid united cheat among the nodes. The method can be flexibly applied to various distributed environments, and has good practicability.

Description

technical field [0001] The invention relates to a trust quantification method, in particular to a trust quantification method based on gray fuzzy comprehensive evaluation, which is used to solve the trust quantification problem when entities access resources in a distributed environment, and belongs to the field of computer network security. Background technique [0002] In a distributed environment, there is no central management authority to rely on, which makes an entity in a distributed environment unable to obtain all information of another entity, or the entities do not know each other at all. Since users often need to face unfamiliar entities, the role of trust is particularly important. Entity trust is uncertain, and it is necessary to quantify trust. Considering the fuzziness of trust, it is of great significance to use fuzzy mathematical tools to quantify trust. [0003] At present, the quantification of trust usually starts with the specific factors contained in...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F21/00H04L12/24
Inventor 何泾沙马书南高枫王钊
Owner BEIJING UNIV OF TECH
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