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Communication Dans Un Congrès Année : 2024

Reputation-based Trustworthiness Degree in Interference-variable Vehicular Networks

Claudia Leoni
  • Fonction : Auteur
  • PersonId : 1298756
Anna Maria Vegni
  • Fonction : Auteur
  • PersonId : 926072
Valeria Loscri
  • Fonction : Auteur
  • PersonId : 1084587
Abderrahim Benslimane

Résumé

Trustworthiness in wireless networks is an open challenge due to several features that should be taken into account. All the networking concepts should be updated accordingly, as well as physical layer features that influence the node transmission ability. Indeed, a trusted vehicle is expected to efficiently forward data packets, in order to reach the highest number of neighbors. At the same time, a trusted vehicle is expected to be well-recognized within the network, thanks to a high reputation degree. In this paper, we discuss the open challenge of trustworthiness node degree, based on both the reputation degree computed according to real-time interactions and past data, and on physical features of the wireless communication channel. A node can be defined as trusted if exhibiting an acceptable reputation degree, and being successfully able to transmit data packet in a given environment. However, the node trustworthiness degree is also strongly affected by the interference level in the reference scenario. Indeed, interfering nodes can negatively influence the node reputation degree, causing a decrease of the trustworthiness node degree.
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Dates et versions

hal-04602199 , version 1 (05-06-2024)

Identifiants

  • HAL Id : hal-04602199 , version 1

Citer

Claudia Leoni, Anna Maria Vegni, Valeria Loscri, Abderrahim Benslimane. Reputation-based Trustworthiness Degree in Interference-variable Vehicular Networks. 1st International Workshop on Trustworthy and Explainable Artificial Intelligence for Networks (TX4Nets) 2024, IFIP Networking, Jun 2024, Thessaloniki, Greece. ⟨hal-04602199⟩

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