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A DDoS Attack Detection and Mitigation with Software-Defined Internet of Things Framework

Yin, D and Zhang, L and Yang, K (2018) 'A DDoS Attack Detection and Mitigation with Software-Defined Internet of Things Framework.' IEEE Access, 6. pp. 24694-24705. ISSN 2169-3536

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Abstract

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.

Item Type: Article
Uncontrolled Keywords: Software-defined Internet of Things (SD-IoT); distributed denial of service (DDoS); attack detection; attack mitigation; cosine similarity
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health
Faculty of Science and Health > Computer Science and Electronic Engineering, School of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 26 Jun 2018 12:30
Last Modified: 15 Jan 2022 01:24
URI: http://repository.essex.ac.uk/id/eprint/22259

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