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Title: An energy aware and secure MAC protocol for tackling denial of sleep attacks in wireless sensor networks
Author: Udoh, Ekereuke
ISNI:       0000 0004 8510 1694
Awarding Body: University of Westminster
Current Institution: University of Westminster
Date of Award: 2019
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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 ofsecurity protection could give room for energy-drain attacks such as denial-of-sleep attacks which have a higher negative impact on the life span (availability) 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 (MAC) protocols - Sensor-MAC, Timeout-MAC and TunableMAC - under different network sizes and measuring different parameters such as the Received Signal Strength (RSSI) and Link Quality Indicator (LQI), 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 dutycycle protocols - Sensor-MAC (SMAC), Timeout-MAC (TMAC) and TunableMAC, in addition to creating a novel MAC protocol that is also more resilient to denial-of-sleep attacks 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 betterresilience to denial-of-sleep attacks. Part of this research has been published - Two conference publications in IEEE Explore and one workshop paper.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available