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Securing Home Automation against distributed denial of service attack

Mhatre, Anurag Nitin (2021) Securing Home Automation against distributed denial of service attack. Masters thesis, Dublin, National College of Ireland.

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As information technologies advance at a rapid pace, the possibility of an attack keeps growing. One of the most complicated security problems to fix is distributed denial of service (DDoS). While many existing techniques focus on DDOS attacks and their countermeasures, the most crucial component in securing home automation. Because smart home IoT devices are linked with hardware and software, IoT devices must be secured to work effectively. If an attacker gains access to a device, it can simply usurp the device's functioning and steal the information of the users. In this work, we attempt to resolve the Distributed Denial of Service (DDoS) problem against home routers and secure home IoT devices. Securing the network's main entry point (router) can reduce the number of cyberattacks. We have implemented Virtual Router Redundancy Protocol Techniques and a virtual load balancer in our approach, which can be an efficient and effective way to ameliorate DDoS attacks. As a result, the experimental setup was evaluated by implementing a Cisco packet tracer simulator, and the results show how the network's main access point (router) can be accessible. In the case of a failure, these two distinct techniques can conveniently mitigate DDoS traffic without interfering with precise traffic or causing widespread disruption to home automation.

Item Type: Thesis (Masters)
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science
Q Science > QA Mathematics > Computer software > Computer Security
T Technology > T Technology (General) > Information Technology > Computer software > Computer Security
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Telecommunications > Computer networks > Internet of things
Divisions: School of Computing > Master of Science in Cyber Security
Depositing User: Tamara Malone
Date Deposited: 22 Dec 2022 12:01
Last Modified: 07 Mar 2023 14:28

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