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A DDoS Attack Detection and Mitigation With Software-Defined Internet of Things Framework
- 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.
- Subjects :
- General Computer Science
business.industry
Computer science
General Engineering
020206 networking & telecommunications
Cloud computing
Denial-of-service attack
02 engineering and technology
Computer security
computer.software_genre
distributed denial of service (DDoS)
Software
attack mitigation
0202 electrical engineering, electronic engineering, information engineering
cosine similarity
020201 artificial intelligence & image processing
General Materials Science
Software-defined Internet of Things (SD-IoT)
lcsh:Electrical engineering. Electronics. Nuclear engineering
Internet of Things
business
computer
attack detection
lcsh:TK1-9971
Subjects
Details
- Language :
- English
- ISSN :
- 21693536
- Volume :
- 6
- Database :
- OpenAIRE
- Journal :
- IEEE Access
- Accession number :
- edsair.doi.dedup.....a8ca93c873e5cd4d228f3a0c93d4735f