- Title
- Security in software-defined networking : threats and countermeasures
- Creator
- Shu, Zhaogang; Wan, Jiafu; Li, Di; Lin, Jiaxiang; Vasilakos, Athanasios; Imran, Muhammad
- Date
- 2016
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/186384
- Identifier
- vital:16896
- Identifier
-
https://doi.org/10.1007/s11036-016-0676-x
- Identifier
- ISBN:1383-469X (ISSN)
- Abstract
- In recent years, Software-Defined Networking (SDN) has been a focus of research. As a promising network architecture, SDN will possibly replace traditional networking, as it brings promising opportunities for network management in terms of simplicity, programmability, and elasticity. While many efforts are currently being made to standardize this emerging paradigm, careful attention needs to be also paid to security at this early design stage. This paper focuses on the security aspects of SDN. We begin by discussing characteristics and standards of SDN. On the basis of these, we discuss the security features as a whole and then analyze the security threats and countermeasures in detail from three aspects, based on which part of the SDN paradigm they target, i.e., the data forwarding layer, the control layer and the application layer. Countermeasure techniques that could be used to prevent, mitigate, or recover from some of such attacks are also described, while the threats encountered when developing these defensive mechanisms are highlighted. © 2016, Springer Science+Business Media New York.
- Publisher
- Springer New York LLC
- Relation
- Mobile Networks and Applications Vol. 21, no. 5 (2016), p. 764-776
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- Copyright @ Springer Science+Business Media New York 2016
- Subject
- 4006 Communications engineering; 4606 Distributed computing and systems software; SDN; Security; Security countermeasures; Software-defined networking
- Reviewed
- Funder
- This work was supported in part by the Fundamental Research Funds for the Central Universities (No. 2015ZZ079), the Natural Science Foundation of Jiangxi Province, China (No. 20151BAB207024), the Natural Science Foundation of Fujian Province, China (No. 2014J05045), the Natural Science Foundation of Guangdong Province, China (No. 2015A030308002), and the National Natural Science Foundation of China (Nos. 61262013, 61572220, 41401458, 61363011, and 51575194). Imran’s work is supported by the Deanship of Scientific Research at King Saud University through Research group No. (RG # 1435-051).
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