Confidence Skewing Problem and Its Correction Method in Mimic Arbitration Mechanism  

作　　者：GUO Wei ZHANG Fan WU Zhaoqi WEI Jin WU Jiangxing ZHOU Wenle 

机构地区：[1]PLA Strategic Support Force Information Engineering University,Zhengzhou 450002,China [2]School of Computer Science,Fudan University,Shanghai 200433,China [3]The Institute of North Electronic Equipment,Beijing 100083,China

出　　处：《Chinese Journal of Electronics》2020年第3期547-553,共7页电子学报（英文版）

基　　金：This work is supported by the National Natural Science Foundation of China(No.61572520);the National Natural Science Foundation of China for Innovative Research Groups(No.61521003);the Special Fund for Informatization Projects of Shanghai(No.201701046).

摘　　要：Arbitration mechanism is the core element of Cyberspace mimic defense(CMD)scheme,providing the security effect of exception perception and exception shielding for the protected system.The existing arbitration methods confront the problem of confidence skewing caused by attack changes when calculating confidence.This paper proposes a correction method for confidence calculation based on Logistic function(Lcorrection).The method makes a grading on influence for different historical periods and filters the noise of"overheating"exception outputs so that the confidence calculation process can adapt to the attack changes in real applications.The evaluations show that the L-correction can adequately handle the confidence skewing and skewingbased confidence cheating,improving the security of mimic arbitration mechanism.

关 键 词：Cyberspace mimic defense Arbitration mechanism Confidence skewing Logistic function Influence grading Noise filtering 

分 类 号：TP393.08[自动化与计算机技术—计算机应用技术]