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      Detection and Mitigation of DoS and DDoS Attacks in IoT-Based Stateful SDN: An Experimental Approach

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          Abstract

          The expected advent of the Internet of Things (IoT) has triggered a large demand of embedded devices, which envisions the autonomous interaction of sensors and actuators while offering all sort of smart services. However, these IoT devices are limited in computation, storage, and network capacity, which makes them easy to hack and compromise. To achieve secure development of IoT, it is necessary to engineer scalable security solutions optimized for the IoT ecosystem. To this end, Software Defined Networking (SDN) is a promising paradigm that serves as a pillar in the fifth generation of mobile systems (5G) that could help to detect and mitigate Denial of Service (DoS) and Distributed DoS (DDoS) threats. In this work, we propose to experimentally evaluate an entropy-based solution to detect and mitigate DoS and DDoS attacks in IoT scenarios using a stateful SDN data plane. The obtained results demonstrate for the first time the effectiveness of this technique targeting real IoT data traffic.

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          Most cited references 35

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          OpenFlow

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            Software-Defined Networking: A Comprehensive Survey

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              Improving network management with software defined networking

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                Author and article information

                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                03 February 2020
                February 2020
                : 20
                : 3
                Affiliations
                [1 ]Department of Computing and Telematics Engineering, Universidad de Extremadura, 06800 Mérida, Spain; jcarmur@ 123456unex.es
                [2 ]Department of Signal Theory, Telematics and Communications, Universidad de Granada, 18071 Granada, Spain; juanvalenzuela@ 123456ugr.es
                [3 ]ITIS Software, Universidad de Málaga, 29071 Málaga, Spain; flv@ 123456lcc.uma.es
                [4 ]Department of Languages and Computer Science, Universidad de Málaga, 29071 Málaga, Spain
                Author notes
                [* ]Correspondence: jgaleanobra@ 123456unex.es
                Article
                sensors-20-00816
                10.3390/s20030816
                7038683
                32028711
                © 2020 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                Categories
                Article

                Biomedical engineering

                stateful sdn, dos, ddos, entropy, internet of things, experimental evaluation

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