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Intrusion Detection into Cloud-Fog-Based IoT Networks Using Game Theory
المؤلفون المشاركون
Pirozmand, Poria
Ghafary, Mohsen Angoraj
Siadat, Safieh
Ren, Jiankang
المصدر
Wireless Communications and Mobile Computing
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-11-16
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
The Internet of Things is an emerging technology that integrates the Internet and physical smart objects.
This technology currently is used in many areas of human life, including education, agriculture, medicine, military and industrial processes, and trade.
Integrating real-world objects with the Internet can pose security threats to many of our day-to-day activities.
Intrusion detection systems (IDS) can be used in this technology as one of the security methods.
In intrusion detection systems, early and correct detection (with high accuracy) of intrusions is considered very important.
In this research, game theory is used to develop the performance of intrusion detection systems.
In the proposed method, the attacker infiltration mode and the behavior of the intrusion detection system as a two-player and nonparticipatory dynamic game are completely analyzed and Nash equilibrium solution is used to create specific subgames.
During the simulation performed using MATLAB software, various parameters were examined using the definitions of game theory and Nash equilibrium to extract the parameters that had the most accurate detection results.
The results obtained from the simulation of the proposed method showed that the use of intrusion detection systems in the Internet of Things based on cloud-fog can be very effective in identifying attacks with the least amount of errors in this network.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Pirozmand, Poria& Ghafary, Mohsen Angoraj& Siadat, Safieh& Ren, Jiankang. 2020. Intrusion Detection into Cloud-Fog-Based IoT Networks Using Game Theory. Wireless Communications and Mobile Computing،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1214592
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Pirozmand, Poria…[et al.]. Intrusion Detection into Cloud-Fog-Based IoT Networks Using Game Theory. Wireless Communications and Mobile Computing No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1214592
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Pirozmand, Poria& Ghafary, Mohsen Angoraj& Siadat, Safieh& Ren, Jiankang. Intrusion Detection into Cloud-Fog-Based IoT Networks Using Game Theory. Wireless Communications and Mobile Computing. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1214592
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1214592
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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