Optimal Network Defense Strategy Selection Method Based on Evolutionary Network Game
المؤلفون المشاركون
Zhang, Yuchen
Liu, Xiaohu
Zhang, Hengwei
Shao, Lulu
المصدر
Security and Communication Networks
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-10-28
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
The basic hypothesis of evolutionary game theory is that the players in the game possess limited rationality.
The interactive behavior of players can be described by a learning mechanism that has theoretical advantages in modeling the network security problem in a real society.
The current network security evolutionary game model generally adopts a replicator dynamic learning mechanism and assumes that the interaction between players in the group conforms to the characteristics of uniform mixed distribution.
However, in an actual network attack and defense scenario, the players in the game have limited learning capability and can only interact with others within a limited range.
To address this, we improved the learning mechanism based on the network topology, established the learning object set based on the learning range of the players, used the Fermi function to calculate the transition probability to the learning object strategy, and employed random noise to describe the degree of irrational influence in the learning process.
On this basis, we built an attack and defense evolutionary network game model, analyzed the evolutionary process of attack and defense strategy, solved the evolution equilibrium, and designed a defense strategy selection algorithm.
The effectiveness of the model and method is verified by conducting simulation experiments for the transition probability of the players and the evolutionary process of the defense group strategy.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Liu, Xiaohu& Zhang, Hengwei& Zhang, Yuchen& Shao, Lulu. 2020. Optimal Network Defense Strategy Selection Method Based on Evolutionary Network Game. Security and Communication Networks،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1208448
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Liu, Xiaohu…[et al.]. Optimal Network Defense Strategy Selection Method Based on Evolutionary Network Game. Security and Communication Networks No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1208448
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Liu, Xiaohu& Zhang, Hengwei& Zhang, Yuchen& Shao, Lulu. Optimal Network Defense Strategy Selection Method Based on Evolutionary Network Game. Security and Communication Networks. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1208448
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1208448
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر