Authors:
Marc Saideh
1
;
Jean-Paul Jamont
2
and
Laurent Vercouter
1
Affiliations:
1
INSA Rouen Normandie, Normandie Université, LITIS UR 4108, 76000 Rouen, France
;
2
Université Grenoble Alpes, LCIS, 26000 Valence, France
Keyword(s):
Multi-Agent Systems, Internet of Things, Authentication, Trust, Security.
Abstract:
In the Internet of Things (IoT), systems often operate in open and dynamic environments composed of heterogeneous objects. Deploying a multi-agent system in such environments requires agents to interact with new agents and use their information and services. These interactions and resulting dependencies create vulnerabilities to malicious behaviors, highlighting the need for a robust trust management system. Multi-agent trust management models rely on observations of the behavior of other agents who must be authenticated. However, traditional authentication systems face significant limitations in adapting to diverse contexts and addressing the hardware constraints of the IoT. This paper proposes a novel trust-based multi-agent adaptive decision-making process for authentication in the IoT. Our approach dynamically adjusts authentication decisions based on the context and trustworthiness of the agent being authenticated, thereby balancing resource use for authentication with security
needs and ensuring a more adaptable authentication process. We evaluate our model in a multi-agent navigation simulation, demonstrating its effectiveness for security and resource efficiency.
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