An Effective DDoS Defense Scheme for SDN
Title | An Effective DDoS Defense Scheme for SDN |
Publication Type | Conference Paper |
Year of Publication | 2017 |
Authors | Huang, X., Du, X., Song, B. |
Conference Name | 2017 IEEE International Conference on Communications (ICC) |
Date Published | May 2017 |
Publisher | IEEE |
ISBN Number | 978-1-4673-8999-0 |
Keywords | Computer crime, computer network security, DDoS Attacks, distributed denial-of-service attacks, Entropy, honey pots, human factors, internetworking, IP networks, Logic gates, openflow switch, prediction value, pubcrawl, resilience, Resiliency, Scalability, SDN controller, security gateway, software defined networkcontroller, software defined networking, Switches, Taylor series |
Abstract | In this paper, we propose a scheme to protect the Software Defined Network(SDN) controller from Distributed Denial-of-Service(DDoS) attacks. We first predict the amount of new requests for each openflow switch periodically based on Taylor series, and the requests will then be directed to the security gateway if the prediction value is beyond the threshold. The requests that caused the dramatic decrease of entropy will be filtered out and rules will be made in security gateway by our algorithm; the rules of these requests will be sent to the controller. The controller will send the rules to each switch to make them direct the flows matching with the rules to the honey pot. The simulation shows the averages of both false positive and false negative are less than 2%. |
URL | https://ieeexplore.ieee.org/document/7997187 |
DOI | 10.1109/ICC.2017.7997187 |
Citation Key | huang_effective_2017 |
- prediction value
- Taylor series
- Switches
- software defined networking
- software defined networkcontroller
- security gateway
- SDN controller
- Scalability
- Resiliency
- resilience
- pubcrawl
- Computer crime
- openflow switch
- Logic gates
- IP networks
- internetworking
- Human Factors
- honey pots
- Entropy
- distributed denial-of-service attacks
- DDoS Attacks
- computer network security