Trust management system design for the Internet of Things: a context-aware and multi- service approach

Yosra Ben Saied (1) , Alexis Olivereau (1) , Djamal Zeghlache (2, 3) , Maryline Laurent (2, 3)

1 DIASI (CEA, LIST) - Département Intelligence Ambiante et Systèmes Interactifs
2 SAMOVAR - Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux
3 CNRS - Centre National de la Recherche Scientifique

This work proposes a new trust management system (TMS) for the Internet of Things (IoT). The wide majority of these systems are today bound to the assessment of trustworthiness with respect to a single function. As such, they cannot use past experiences related to other functions. Even those that support multiple functions hide this heterogeneity by regrouping all past experiences into a single metric. These restrictions are detrimental to the adaptation of TMSs to today's emerging M2M and IoT architectures, which are characterized with heterogeneity in nodes, capabilities and services. To overcome these limitations, we design a context-aware and multi-service trust management system fitting the new requirements of the IoT. Simulation results show the good performance of the proposed system and especially highlight its ability to deter a class of common attacks designed to target trust management systems

Mots clés: Collaboration; Trust management; Trust; Internet of Things; Reputation

Domaines: Cryptographie et sécurité [cs.CR]; Réseaux et télécommunications [cs.NI]

Yosra Ben Saied, Alexis Olivereau, Djamal Zeghlache, Maryline Laurent. Trust management system design for the Internet of Things: a context-aware and multi- service approach. Computers and Security, 2013, 39 (Part B), pp.351 - 365. ⟨10.1016/j.cose.2013.09.001⟩. ⟨hal-01281972⟩