IEEE Access · 2018 · 236 citations · 35 references
ComputingComputer EngineeringCybersecurityComputer SecurityInternet Of ThingsNetwork SecurityDenial-of-service AttacksIntrusion DetectionIot ArchitectureIot Device ManagementIot SecuritySoftware-defined NetworkingAttack DetectionCosine SimilarityDdos DetectionDenial-of-service MitigationDevice ControllersIot Security ArchitectureSecurity For Internet Of Things DevicesSoftware-defined Networking Security
With the spread of Internet of Things' (IoT) applications, security has become extremely important. A recent distributed denial-of-service (DDoS) attack revealed the ubiquity of vulnerabilities in IoT, and many IoT devices unwittingly contributed to the DDoS attack. The emerging software-defined anything (SDx) paradigm provides a way to safely manage IoT devices. In this paper, we first present a general framework for software-defined Internet of Things (SD-IoT) based on the SDx paradigm. The proposed framework consists of a controller pool containing SD-IoT controllers, SD-IoT switches integrated with an IoT gateway, and IoT devices. We then propose an algorithm for detecting and mitigating DDoS attacks using the proposed SD-IoT framework, and in the proposed algorithm, the cosine similarity of the vectors of the packet-in message rate at boundary SD-IoT switch ports is used to determine whether DDoS attacks occur in the IoT. Finally, experimental results show that the proposed algorithm has good performance, and the proposed framework adapts to strengthen the security of the IoT with heterogeneous and vulnerable devices.
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Qiao Yan, F. Richard Yu, Qingxiang Gong et al. · IEEE Communications Surveys & Tutorials · 2015 · 802 citations
DDoS attack protection in the era of cloud computing and Software-Defined Networking
Bing Wang, Yao Zheng, Wenjing Lou et al. · Computer Networks · 2015 · 386 citations
A Software Defined Networking architecture for the Internet-of-Things
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