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              <text>Distributed denial-of-service detection and mitigation using software-defined network and internet of things</text>
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              <text>Data Attack; DDoS; Internet of Things; Security; Software-defined Network</text>
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              <text>Internet of Things (IoT) is one of the promising technologies that are developing quickly in various fields such as automation, safety and health. It is a heterogeneous network that links various physical devices. It consists of a variety of vulnerabilities due to its heterogeneous nature. It makes a different level of security issues. Distributed Denial-of-service (DDoS) attack denies services to an authentic user and makes the resources of network inaccessible. DDoS attack is a significant problem for IoT. It is easy to carry out this attack on an IoT network. Main aim of the proposed methodology is to use Software-defined Network (SDN). The primary structure of proposed system is to integrate SDN and IoT technology. This combination is to provide a more secure infrastructure compare to traditional system. The secondary structure of proposed system is used to detect and mitigate the DDoS attacks. The proposed methodology is to check associativity of MAC IP address, source IP address and destination IP address. It was able to detect and mitigate the attack in short span of time. The results are compared on different parameters. That parameters are packet delay time, flow entries and average packet received per second by the controller. This hybrid method is to provide higher security and improve the Quality of Service (QoS).  2019, Institute of Advanced Scientific Research, Inc.. All rights reserved.</text>
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              <text>Nair A.K.; Jayapandian N.; Jingle D.J.</text>
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              <text>Journal of Advanced Research in Dynamical and Control Systems, Vol-11, No. Special Issue 8, pp. 2778-2787.</text>
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              <text>Institute of Advanced Scientific Research, Inc.</text>
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              <text>2019-01-01</text>
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              <text>ISSN: 1943023X</text>
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              <text>Nair A.K., Department of Computer Science and Engineering, Christ (Deemed to be University), Faculty of Engineering, Kengeri Campus, Bangalore, 560074, India; Jayapandian N., Department of Computer Science and Engineering, Christ (Deemed to be University), Faculty of Engineering, Kengeri Campus, Bangalore, 560074, India; Jingle D.J., Department of Computer Science and Engineering, Christ (Deemed to be University), Faculty of Engineering, Kengeri Campus, Bangalore, 560074, India</text>
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