A Multi-Index Mimic Voting Algorithm Based on Improved AHP-FCE Model

doi:10.13190/j.jbupt.2020-105

Journal of Beijing University of Posts and Telecommunications ›› 2021, Vol. 44 ›› Issue (2): 8-13.doi: 10.13190/j.jbupt.2020-105

• The Special Issue on Future Network Architecture and Key Technologies • Previous Articles Next Articles

A Multi-Index Mimic Voting Algorithm Based on Improved AHP-FCE Model

LU Yi-qin, HUANG Jun-xian, CHENG Zhe, QIN Jian-cheng

School of Electronic and Information Engineering, South China University of Technology, Guangzhou 510641, China

Received:2020-07-29 Online:2021-04-28 Published:2021-04-28

Abstract

Abstract: In order to improve the accuracy of mimic voting, a multi-index mimic voting algorithm based on the improved analytic hierarchy process-fuzzy comprehensive evaluation(AHP-FCE) model is proposed. In view of the shortcomings of the consistency check in the traditional model, the proposed algorithm improves the construction method of the judgment matrix. It can construct a judgment matrix that must have consistency with no need for consistency check and adjustment. Based on the improved model, the algorithm comprehensively analyzes the consistency, historical confidence, and heterogeneity in the mimic voting, transforming the mimic voting into a fuzzy evaluation process. Simulations show that compared with consensus voting, the algorithm can effectively improve the accuracy of voting and the overall safety performance of a mimic system.

Key words: mimic defense, improved analytic hierarchy process-fuzzy comprehensive evaluation model, multi-index, voting algorithm

CLC Number:

TP393

LU Yi-qin, HUANG Jun-xian, CHENG Zhe, QIN Jian-cheng. A Multi-Index Mimic Voting Algorithm Based on Improved AHP-FCE Model[J]. Journal of Beijing University of Posts and Telecommunications, 2021, 44(2): 8-13.

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A Multi-Index Mimic Voting Algorithm Based on Improved AHP-FCE Model

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