Visible to the public Study of Trust at Device Level of the Internet of Things Architecture

TitleStudy of Trust at Device Level of the Internet of Things Architecture
Publication TypeConference Paper
Year of Publication2019
AuthorsYekini, T. Akeem, Jaafar, F., Zavarsky, P.
Conference Name2019 IEEE 19th International Symposium on High Assurance Systems Engineering (HASE)
Keywordsauthentication, basic firewall protection, built-in security features, composability, Computational modeling, Computer architecture, cryptography, cyber-physical system security, device level encryption, device management, Encryption, examined IoT solutions, general Internet of Things architecture, Internet of Things, IoT architecture model, IoT devices, IoT security solutions, Logic gates, neural style transfer, Object recognition, Predictive Metrics, pubcrawl, Resiliency, Scalability, security risk, security risks, tamper proof, telecommunication security, Trusted Computing, Trusted Platform Module, trusted platform modules, unique device identifier, user authentication
AbstractIn the Internet of Things architecture, devices are frequently connected to the Internet either directly or indirectly. However, many IoT devices lack built-in security features such as device level encryption, user authentication and basic firewall protection. This paper discusses security risks in the layers of general Internet of Things architecture and shows examples of potential risks at each level of the architecture. The paper also compares IoT security solutions provided by three major vendors and shows that the solutions are mutually complementary. Nevertheless, none of the examined IoT solutions provides security at the device level of the IoT architecture model. In order to address risks at the device level of the architecture, an implementation of Trusted Platform Module and Unique Device Identifier on IoT devices and gateways for encryption, authentication and device management is advocated in the paper.
DOI10.1109/HASE.2019.00031
Citation Keyyekini_study_2019