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Improved Automated Graph and FCM Based DDoS Attack Detection Mechanism in Software Defined Networks
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並列篇名 | Improved Automated Graph and FCM Based DDoS Attack Detection Mechanism in Software Defined Networks |
作者 | Xin Li、Zhijie Fan、Ya Xiao、Qian Xu、Wenye Zhu |
英文摘要 | The DDoS attack is an unneglected cyber security threats in Software Defined Networks, specially it can have a fatal impact on SDNs. In this paper, we propose an improved automated graph based DDoS attack detection mechanism based on Fuzzy Cognitive Map (FCM) on SDNs. With the network patterns as nodes and similarity as link weights, our model based on featurepattern graph and FCM is capable of detecting the DDoS attacks using graph based our method, and it can also scalable to insert new nodes to the graph model by graph update according to the unknown attack threats that are tried to find automatically. Our experimental results shown that the feasibility of our proposed method is a more accurate way to detect the DDoS attack by comparing with other similar methods. |
起訖頁 | 2117-2127 |
關鍵詞 | Software defined network、DDoS attack detection、Fuzzy cognitive maps、Graph model |
刊名 | 網際網路技術學刊 |
期數 | 201912 (20:7期) |
出版單位 | 台灣學術網路管理委員會 |
DOI |
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