A novel Primary Key infrastructure IoT enabled secure Access Control Framework Based smart home applications
Abdullah Raza Lakhan, Muhammad Faisal Memon, Rahila Shah, Amjad Ali · VFAST Transactions on Software Engineering · 2025
This paper presents a comprehensive security framework for smart home environments, integrating advanced authentication, access control mechanisms, and machine learning for robust IoT protection. A typical smart home ecosystem is illustrated with interconnected devices—air conditioning systems, robotic assistants, surveillance cameras, and thermostats—linked through a centralised wireless network that facilitates seamless communication and remote control via the internet. The framework emphasises secure authentication and authorisation processes, using public key infrastructure (PKI) to validate devices and users while issuing, renewing, and revoking certificates for encrypted communication. The mathematical model outlines device and user authentication, validation functions, and access control mechanisms to ensure secure operations. Fine-grained access control is implemented to grant permissions based on specific conditions, ensuring flexible yet secure resource allocation. Communication security is maintained through encryption and decryption, safeguarding data transmitted across devices and networks. To mitigate security risks, a convolutional neural network is employed for anomaly detection, identifying threats by recognising deviations in regular patterns. Additionally, the framework addresses interoperability by adhering to standard-compliance protocols, facilitating seamless integration across diverse devices. Resource optimisation techniques are introduced to maximise efficiency based on the number and capabilities of devices in the network. User interaction is streamlined through an intuitive interface that supports secure and user-friendly system access. The proposed SAC-PKI algorithm serves as the foundation for the framework, detailing sequential steps for authentication, certificate management, access control, and anomaly detection. By leveraging adaptive security features and advanced threat detection, this framework provides a robust solution for enhancing the cybersecurity of smart home deployments, addressing vulnerabilities, and ensuring efficient resource utilisation in IoT environments.