Continuous authentication was introduced to propose novel mechanisms to validate users’ identity and address the problems and limitations exposed by traditional techniques. However, this methodology still poses a number of challenges that remain unsolved. In this paper, we present a novel framework, PALOT, that leverages IoT to provide context-aware, continuous and non-intrusive authentication and authorization services. To this end, we propose a formal information system model based on ontologies, representing the main source of knowledge of our framework. Furthermore, to recognize users’ behavioral patterns within the IoT ecosystem, we introduced a new module called “confidence manager”. The module is then integrated into an extended version of our early framework architecture, IoTCAF, which is consequently adapted in order to include the above-mentioned component. Exhaustive experiments demonstrate the efficacy, feasibility and scalability of the proposed solution.

This work would not have been possible without the inestimable contribution of:

• Pantaleone Nespoli
• Mattia Zago
• Alberto Huertas Celdrán
• Manuel Gil Pérez
• Félix J. García Clemente

Pantaleone Nespoli, Mattia Zago, Alberto Huertas Celdrán, Manuel Gil Pérez, Félix Gómez Mármol, Félix J. García Clemente, «PALOT: Profiling and Authenticating users Leveraging internet Of Things«, Special Issue on Sensor Systems for Internet of Things, Sensors, vol. 19, no. 12, 2019

• Journal: Sensors
• Category: Instruments & Instrumentation
• Rank: 15/64
• Quartile: Q1
• Impact Factor: 3.275