A Dynamic Hidden Forwarding Path Planning Method Based on Improved Q-Learning in SDN Environments
المؤلفون المشاركون
المصدر
Security and Communication Networks
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-04-23
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
Currently, many methods are available to improve the target network’s security.
The vast majority of them cannot obtain an optimal attack path and interdict it dynamically and conveniently.
Almost all defense strategies aim to repair known vulnerabilities or limit services in target network to improve security of network.
These methods cannot response to the attacks in real-time because sometimes they need to wait for manufacturers releasing corresponding countermeasures to repair vulnerabilities.
In this paper, we propose an improved Q-learning algorithm to plan an optimal attack path directly and automatically.
Based on this path, we use software-defined network (SDN) to adjust routing paths and create hidden forwarding paths dynamically to filter vicious attack requests.
Compared to other machine learning algorithms, Q-learning only needs to input the target state to its agents, which can avoid early complex training process.
We improve Q-learning algorithm in two aspects.
First, a reward function based on the weights of hosts and attack success rates of vulnerabilities is proposed, which can adapt to different network topologies precisely.
Second, we remove the actions and merge them into every state that reduces complexity from O(N3) to O(N2).
In experiments, after deploying hidden forwarding paths, the security of target network is boosted significantly without having to repair network vulnerabilities immediately.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Chen, Yun& Lv, Kun& Hu, Changzhen. 2018. A Dynamic Hidden Forwarding Path Planning Method Based on Improved Q-Learning in SDN Environments. Security and Communication Networks،Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1213955
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Chen, Yun…[et al.]. A Dynamic Hidden Forwarding Path Planning Method Based on Improved Q-Learning in SDN Environments. Security and Communication Networks No. 2018 (2018), pp.1-12.
https://search.emarefa.net/detail/BIM-1213955
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Chen, Yun& Lv, Kun& Hu, Changzhen. A Dynamic Hidden Forwarding Path Planning Method Based on Improved Q-Learning in SDN Environments. Security and Communication Networks. 2018. Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1213955
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1213955
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