Early detection and mitigation scheme for internet of things based threats in smart home automation.
Mahapa, Noxolo
Mahapa, Noxolo
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Abstract
The Internet of Things (IoT) technology and applications that are related to the IoT have witnessed rapid development in recent years. An example of an innovation in the field is the emergence of smart home systems (SHS). These systems encompass a range of internet connected devices, smart home automation systems (SHAS), and dependable energy management systems. Such IoT innovations are accompanied with cyber threats that may impact or threaten the smart home users (SHU). In the year 2022, a total of 112 million cyberattacks targeting IoT devices were recorded on a global scale. In order to address this phenomenon, a game theoretical approach has been adopted in this study in order to provide an early detection and mitigation of IoT based security threats in SHAS. The early detection and mitigation of those IoT-based security threats has been achieved using various game strategies such as pure game theory and mixed game theory techniques. The main objective of the proposed system is to ensure an early automatic response of the detection and mitigation of the threats in the SHAS. The algorithms and the simulation experimental setup were developed in order to achieve the objective of the study which was to improve the response time on the detection technique and early sending rate response for the mitigation of threats in SHAS. Pure game theory has been reported to be much successful in the early detection of security concerns based on IoT. The application of pure game theory in early detection has shown a slight improvement when compared to the use of a mixed game strategy. Additionally, mixed game theory has shown to be a more effective method for SHAS early mitigation of IoT-based security threats. According to the early mitigation results, adopting mixed game theory can help to mitigate IoT-based security threats before damage is done. The study findings indicate that the utilization of a game theoretical method has the potential to yield a modest enhancement in early detection and mitigation of IoT related risks in SHAS.
Description
Submitted in partial fulfilment of the requirement of the degree: Master’s Degree in Engineering (MEng): Engineering: Electrical Field of Specialization: Telecommunications in the Department of Electrical Engineering / F’SATI within the Faculty of Engineering and the Built Environment at the Tshwane University of Technology.
Date
2024-04-01
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Tshwane University of Technology
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Keywords
Detection, Game Theory, Internet of Things (IoT), Mitigation, Security, Smart home