Article Per Year (5 Year)
p-Index From 2021 - 2026
0
P-Index
This Author published in this journals
All Journal Indonesian Journal of Electrical Engineering and Computer Science
Jinhui Zhao
Shijiazhuang University of Economics

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
A Dynamic Selection Algorithm on Optimal Auto-Response for Network Survivability Jinhui Zhao; Yujia Sun; Liangxun Shuo
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 8: August 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i8.pp6354-6360

Abstract

In the selection process of survival strategies, it is a challenging work to automatically choose the optimal measure for the survival event. A dynamic selection algorithm is proposed, based on feedback control. According to the feature of survival strategy, the strategy model is presented, which includes fuor specific attribute. The dynamic update process of attribute vector is described in detail. Combining the weight of preference and attributes of strategy, the TOPSIS evaluation is employed to select optimal measure. Experiments and analysis show that optimal measure selected by proposed algorithm is appropriate and wishful, which enriches the research content in this field.
A Situation Awareness Model of System Survivability Based on Variable Fuzzy Set Jinhui Zhao; Yu Zhou; Liangxun Shuo
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 8: December 2012
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Because of the complexities and diversities of security alerts in modern networks, it is extremely difficult to precisely analyze and evaluate the survival situation. After analyzed the research progress of survival situation awareness, a hierarchical model of survival situational awareness is proposed, based on fusion technology of variable fuzzy set. In order to improve the discrimination of features, the efficient light-computation fusion mechanisms are employed to preproccess the multi-source data. Subsequently, the situation assessment adopted fusion technology of variable fuzzy set theory to improve the accuracy and objectivity of evaluation results. Finally, time series of services or hosts are introduced to judge the survival status and predict the trends by fuzzy reasoning. Experiments indicate that proposed model is suitable for a real network environment, and the perception results more scientific and accurate, which is valuable for generalizations and applications. DOI: http://dx.doi.org/10.11591/telkomnika.v10i8.1691
Co-Authors Liangxun Shuo Yu Zhou Yujia Sun