An Energy Aware and Secure MAC Protocol for Tackling Denial of Sleep Attacks in Wireless Sensor Networks

Udoh, E. 2019. An Energy Aware and Secure MAC Protocol for Tackling Denial of Sleep Attacks in Wireless Sensor Networks. PhD thesis University of Westminster Computer Science and Engineering https://doi.org/10.34737/qz08w

TitleAn Energy Aware and Secure MAC Protocol for Tackling Denial of Sleep Attacks in Wireless Sensor Networks
TypePhD thesis
AuthorsUdoh, E.
Abstract

Wireless sensor networks which form part of the core for the Internet of Things consist of resource constrained sensors that are usually powered by batteries. Therefore, careful
energy awareness is essential when working with these devices.

Indeed,the introduction of security techniques such as authentication and encryption, to ensure confidentiality and integrity of data, can place higher energy load on the sensors. However, the absence of security protection c ould give room for energy drain attacks such as denial of sleep attacks which have a higher negative impact on the life span ( of the sensors than the presence of security features.

This thesis, therefore, focuses on tackling denial of sleep attacks from two perspectives A security perspective and an energy efficiency perspective. The security perspective involves evaluating and ranking a number of security based techniques to curbing denial of sleep attacks. The energy efficiency perspective, on the other hand, involves exploring duty cycling and simulating three Media Access Control ( protocols Sensor MAC, Timeout MAC andTunableMAC under different network sizes and measuring different parameters such as the Received Signal Strength RSSI) and Link Quality Indicator ( Transmit power, throughput and energy efficiency Duty cycling happens to be one of the major techniques for conserving energy in wireless sensor networks and this research aims to answer questions with regards to the effect of duty cycles on the energy efficiency as well as the throughput of three duty cycle protocols Sensor MAC ( Timeout MAC ( and TunableMAC in addition to creating a novel MAC protocol that is also more resilient to denial of sleep a ttacks than existing protocols.

The main contributions to knowledge from this thesis are the developed framework used for evaluation of existing denial of sleep attack solutions and the algorithms which fuel the other contribution to knowledge a newly developed protocol tested on the Castalia Simulator on the OMNET++ platform. The new protocol has been compared with existing protocols and
has been found to have significant improvement in energy efficiency and also better resilience to denial of sleep at tacks Part of this research has been published Two conference
publications in IEEE Explore and one workshop paper.

Year2019
File
File Access Level
Open (open metadata and files)
PublisherUniversity of Westminster
Publication dates
PublishedSep 2019
Digital Object Identifier (DOI)https://doi.org/10.34737/qz08w

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Layered-MAC: An Energy-Protected and Efficient Protocol for Wireless Sensor Networks
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Performance and Energy-Tuning Methodology for Wireless Sensor Networks Using TunableMAC
Udoh, E. and Getov, Vladimir 2020. Performance and Energy-Tuning Methodology for Wireless Sensor Networks Using TunableMAC. IEEE Int. Conference on Communications, Computing, Cybersecurity, and Informatics, CCCI 2020. Virtual - online 03 - 05 Nov 2020 IEEE . https://doi.org/10.1109/CCCI49893.2020.9256744

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Udoh, E. and Getov, Vladimir 2018. Proactive Energy-Efficiency: Evaluation of Duty-Cycled MAC Protocols in Wireless Sensor Networks. CITS 2018: The 2018 International Conference on Computer, Information and Telecommunication Systems. Colmar, France 11 - 13 Jul 2018 IEEE . https://doi.org/10.1109/CITS.2018.8440194

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Udoh, E. and Getov, Vladimir 2018. Performance Analysis of Denial-of-Sleep Attack-Prone MAC Protocols in Wireless Sensor Networks. UKSim: AMSS 20th International Conference on Modelling & Simulation. Cambridge, UK 27 - 29 Mar 2018 IEEE . https://doi.org/10.1109/UKSim.2018.00038

Sensor Intelligence for Tackling Energy-Drain Attacks on Wireless Sensor Networks
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