Title
Detection and mitigation of DoS attacks in SDN. An experimental approach
Abstract
The expected advent of the Internet of Things (IoT) has triggered a large demand of embedded devices, which envisions the autonomous interaction of these sensors and actuators while offering all sort of smart services. However, these IoT devices are limited in compute, storage, and network capacity which makes them easy to hack and compromise. To achieve a safe development of IoT, it is necessary to develop scalable security solutions optimized for the IoT ecosystem. To this end, Software Defined Networks (SDN) is a promising paradigm proposed in 5G that could help to detect and mitigate Denial of Service (DoS) attacks. In this article, we propose an experimental evaluation of an entropy-based solution to detect and mitigate DoS attacks in different scenarios. Results show the effectiveness of this mechanism. The proposed test beds have been conducted by using real data flows, in order to validate the solution under authentic IoT traffic.
Year
DOI
Venue
2019
10.1109/IOTSMS48152.2019.8939208
2019 Sixth International Conference on Internet of Things: Systems, Management and Security (IOTSMS)
Keywords
Field
DocType
SDN,DoS,Entropy,Internet of Things,Experimental evaluation
Denial-of-service attack,Computer science,Internet of Things,sort,Computer network,Software-defined networking,Scalability
Conference
ISBN
Citations 
PageRank 
978-1-7281-2950-1
0
0.34
References 
Authors
10
5