A Smart Home System based on Internet of Things
Rihab Fahd Al-Mutawa, Fathy Albouraey Eassa

TL;DR
This paper proposes a multi-factor authentication system for IoT smart homes, integrating face recognition and liveness detection to enhance security against unauthorized access.
Contribution
It introduces a novel software architecture that incorporates face recognition and liveness detection into IoT smart home authentication, addressing gaps in existing systems.
Findings
Enhanced security through multi-factor authentication
Inclusion of face recognition and liveness detection
Improved user registration and login processes
Abstract
The Internet of Things (IoT) describes a network infrastructure of identifiable things that share data through the Internet. A smart home is one of the applications for the Internet of Things. In a smart home, household appliances could be monitored and controlled remotely. This raises a demand for reliable security solutions for IoT systems. Authorization and authentication are challenging IoT security operations that need to be considered. For instance, unauthorized access, such as cyber-attacks, to a smart home system could cause danger by controlling sensors and actuators, opening the doors for a thief. This paper applies an extra layer of security of multi-factor authentication to act as a prevention method for mitigating unauthorized access. One of those factors is face recognition, as it has recently become popular due to its non-invasive biometric techniques, which is easy to…
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