摘要: | 隨著技術的演進及人們對於網路需求的增加,許多如雲端服務、海量資訊等網路應用隨之而生。這些網路應用需要大量的網路資源、良好的頻寬管理及安全政策。這些需求在現有的分散式網路架構下不容易實現。為解決這些重要問題,軟體定義網路的觀念及技術,因此在近幾年被提出且受到廣泛的重視及研究。
本研究目的在提出一套利用SDN之OpenFlow技術偵測網路攻擊與網路攝影機和無線感測器結合的監控系統,並輔以人工智慧技術,以OpenFlow進行實驗的模擬,在感測系統部分,探究網路及其安全狀況並進行分析,進行網路攻擊模擬,觀察遭受攻擊對正常的服務影響,並彙整網路資訊。
With the evolution of technology and the people to increase the demand for network such as cloud services, big data applications will be born. These applications require a large number of Internet network resources, good bandwidth management and security policies.
Under the existing distributed network architecture requirements are not easy to achieve. To solve these important issues, software-defined network concepts and technology, have been proposed in recent years and received wide attention and research.
Propose a set of OpenFlow technology using SDN detect network attacks and network cameras and surveillance systems combining wireless sensors and artificial intelligence techniques supplemented purpose of this study for OpenFlow simulation experiment, in sensing system’s part, exploring its security and network analysis, network attack simulation, observing the impact suffered attacks on normal service, and network information collection. |