Maestriot

Multi-Agent Trust Decision Process for the Internet of Things

Objectives

The main objective of the MaestrIoT project is to develop an algorithmic framework for ensuring trust in a multi-agent system handling sensors and actuators of a cyber-physical environment. Trust management has to be ensured from the perception to decision making and integrating the exchange of information between WoT devices. From an abstract perspective a WoT is represented by a multi-agent system where each agent is embedded on an hardware device equipped with sensors and actuators. An agent perceives its environment through its own sensors and also by receiving information from other agents.
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The key focus of MaestrIoTis a framework enabling this agent to evaluate the trustworthiness of information and of their sources and to take it into account in its decision processes that control its actuators. Both the security context of data gathering and the trustworthiness of the sources will be considered. For instance, if some data have been sent by a trusted source but using an unsecured communication channel, these two aspects should be considered. From an abstract perspective a WoT is represented by a multi-agent system where each agent is embedded on an hardware device equipped with sensors and actuators. An agent perceives its environment through its own sensors and also by receiving information from other agents.

The MaestrIoT framework will cover three aspects: (i) definition and recognition of security contexts to evaluate the risks associated to data coming from an agent’s own sensors and from other agents; (ii) definition of a trust management system integrating these security contexts to build and share trust assessments; (iii) sequential decision making processes adapted to information having various trust assessments. For this purpose, MaestrIoT will address these scientific challenges: A transversal security, a multi-target trust management model, sequential decision making.