This research investigates the cybersecurity landscape of home-based Internet of Things (IoT) devices, with a particular emphasis on privacy concerns and the threat of denial-of-service (DoS) and distributed denial-of-service (DDoS) attacks like Alexa, Cortana, and Siri. The study systematically explores critical vulnerabilities inherent in these devices, including but not limited to weak passwords, inadequate security protections, outdated firmware, and the infrequent application of necessary software updates. Given the heterogeneous nature of IoT devices and the communication protocols they employ, this research identifies that the interfaces and services, especially those operating at the Network and Application layers, are particularly prone to various types of cyber-attacks. These attacks encompass Traffic Analysis, Radio-Frequency Identification (RFID) Spoofing and Cloning, Man-in-the-Middle attacks, attacks on RoutingInformation, and both DoS and DDoS attacks. The diversity and specificity of these attack vectors highlight the complexity of securing IoT environments. The primary goal of this research is to establish robust criteria for access control tailored to mitigate the risks associated with cyber-attacks, identify potential attackers, and implement effective countermeasures against DoS and DDoS attacks.

Authors: Christian Asante, Funminiyi Olajide

Published in: International Conference on Information Society (i-Society-2024)

• Date of Conference: 26-28 August, 2024
• DOI: 10.20533/iSociety.2024.0025
• ISBN: 978-1-913572-72-3
• Conference Location: Churchill College, Cambridge, UK