GUO Wei, ZHANG Fan, WU Zhaoqi, WEI Jin, WU Jiangxing, ZHOU Wenle. Confidence Skewing Problem and Its Correction Method in Mimic Arbitration Mechanism[J]. Chinese Journal of Electronics, 2020, 29(3): 547-553. doi: 10.1049/cje.2020.03.010
Citation: GUO Wei, ZHANG Fan, WU Zhaoqi, WEI Jin, WU Jiangxing, ZHOU Wenle. Confidence Skewing Problem and Its Correction Method in Mimic Arbitration Mechanism[J]. Chinese Journal of Electronics, 2020, 29(3): 547-553. doi: 10.1049/cje.2020.03.010

Confidence Skewing Problem and Its Correction Method in Mimic Arbitration Mechanism

doi: 10.1049/cje.2020.03.010
Funds:  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), and the Special Fund for Informatization Projects of Shanghai (No.201701046).
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  • Corresponding author: ZHANG Fan (corresponding author) was born in 1981. He received the Ph.D. degrees in information and communication engineering in 2013 from Information Engineering University. He is currently an associate researcher. His research interests include proactive defense, high-performance computing, and big data processing. (
  • Received Date: 2019-10-07
  • Rev Recd Date: 2019-12-30
  • Publish Date: 2020-05-10
  • 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.
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