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Autonomous Cognitive Model and Analysis for Survivable System
Joint Authors
Wang, Jian
Liao, Yiwei
Zhao, Guosheng
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-08-27
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
The research on autonomous recognition mechanism for survivability has vigorously been growing up.
A method of autonomous cognitive model and quantitative analysis for survivable system was proposed based on cognitive computing technology.
Firstly, a cognitive model for survivable system with cross-layer perception ability was established, a self-feedback evolution mode of cognitive unit based on monitor-decide-execute loop structure was improved, and a self-configuration of cognitive unit is realized.
Then, combined with the cognitive state transition graph, the analysis of cognitive performance for survivable systems based on dynamic cognitive behavioral changes was constructed.
Finally, the cognitive processes of survivable system were described by using formal modeling.
Simulation validated the influence degree of test parameters on system survivability from two perspectives of the probability of intrusion detection systems vulnerability and attacks detected.
Results show that enhancing the rate of monitoring actions change and the rate of performing actions change obviously improved the cognitive performance of survivable system.
American Psychological Association (APA)
Liao, Yiwei& Zhao, Guosheng& Wang, Jian. 2020. Autonomous Cognitive Model and Analysis for Survivable System. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1194538
Modern Language Association (MLA)
Liao, Yiwei…[et al.]. Autonomous Cognitive Model and Analysis for Survivable System. Mathematical Problems in Engineering No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1194538
American Medical Association (AMA)
Liao, Yiwei& Zhao, Guosheng& Wang, Jian. Autonomous Cognitive Model and Analysis for Survivable System. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1194538
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1194538