Next Article in Journal
A Crop Canopy Localization Method Based on Ultrasonic Ranging and Iterative Self-Organizing Data Analysis Technique Algorithm
Next Article in Special Issue
A Secure Video Steganography Based on the Intra-Prediction Mode (IPM) for H264
Previous Article in Journal
The Solar-Induced Chlorophyll Fluorescence Imaging Spectrometer (SIFIS) Onboard the First Terrestrial Ecosystem Carbon Inventory Satellite (TECIS-1): Specifications and Prospects
Previous Article in Special Issue
Cryptographic Considerations for Automation and SCADA Systems Using Trusted Platform Modules
 
 
Article

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

1
Department of Computing and Telematics Engineering, Universidad de Extremadura, 06800 Mérida, Spain
2
Department of Signal Theory, Telematics and Communications, Universidad de Granada, 18071 Granada, Spain
3
ITIS Software, Universidad de Málaga, 29071 Málaga, Spain
4
Department of Languages and Computer Science, Universidad de Málaga, 29071 Málaga, Spain
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(3), 816; https://doi.org/10.3390/s20030816
Received: 31 December 2019 / Revised: 27 January 2020 / Accepted: 31 January 2020 / Published: 3 February 2020
(This article belongs to the Special Issue Monitoring of Security Properties in IoT and Emerging Technologies)
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. View Full-Text
Keywords: stateful SDN; DoS; DDoS; entropy; Internet of Things; experimental evaluation stateful SDN; DoS; DDoS; entropy; Internet of Things; experimental evaluation
Show Figures

Figure 1

MDPI and ACS Style

Galeano-Brajones, J.; Carmona-Murillo, J.; Valenzuela-Valdés, J.F.; Luna-Valero, F. Detection and Mitigation of DoS and DDoS Attacks in IoT-Based Stateful SDN: An Experimental Approach. Sensors 2020, 20, 816. https://doi.org/10.3390/s20030816

AMA Style

Galeano-Brajones J, Carmona-Murillo J, Valenzuela-Valdés JF, Luna-Valero F. Detection and Mitigation of DoS and DDoS Attacks in IoT-Based Stateful SDN: An Experimental Approach. Sensors. 2020; 20(3):816. https://doi.org/10.3390/s20030816

Chicago/Turabian Style

Galeano-Brajones, Jesús, Javier Carmona-Murillo, Juan F. Valenzuela-Valdés, and Francisco Luna-Valero. 2020. "Detection and Mitigation of DoS and DDoS Attacks in IoT-Based Stateful SDN: An Experimental Approach" Sensors 20, no. 3: 816. https://doi.org/10.3390/s20030816

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop