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

Authors :
Kun Yang
Lianming Zhang
Da Yin
Source :
IEEE Access, Vol 6, Pp 24694-24705 (2018)
Publication Year :
2018
Publisher :
IEEE, 2018.

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.

Details

Language :
English
ISSN :
21693536
Volume :
6
Database :
OpenAIRE
Journal :
IEEE Access
Accession number :
edsair.doi.dedup.....a8ca93c873e5cd4d228f3a0c93d4735f