@inproceedings{bibcite_16113,
  author = {Erol Gelenbe and Q. Ren and Z. Yan},
  title = {A Probabilistic Dynamic Network Trust Model for IoT Systems with Lost Messages and Cyberattacks},
  abstract = {<p>trust model, the Random Neural Network Trust Model (RNNTM),\&nbsp;which incorporates the dynamics of trust formation in\&nbsp;a network through a sequence of {\textquotedblleft}votes{\textquotedblright} from each entity\&nbsp;regarding all other entities. The model assures fairness among\&nbsp;entities through a fixed replenishment rate of {\textquotedblleft}voting rights{\textquotedblright}\&nbsp;for each entity, whose voting rights are reduced each time the\&nbsp;entity votes. A positive vote received by an entity increases<br />
its voting rights and its trustworthiness, while a negative vote\&nbsp;reduces its voting rights and also its trustworthiness, and a\&nbsp;non-negative integer represents each entity{\textquoteright}s instantaneous {\textquotedblleft}trust\&nbsp;value{\textquotedblright}. An important property of the RNNTM is that an entity<br />
cannot express its trust or distrust of the other entities, and\&nbsp;hence affect their trust values, when its trust level is down to\&nbsp;zero, so that untrustworthy entities are not allowed to express\&nbsp;trust or distrust. After developing the theoretical characteristics<br />
for the RNNTM model, this paper details its use to evaluate\&nbsp;the trust value of multiple entities in a network of Internet of\&nbsp;Things (IoT) devices and gateways, where\&nbsp;cyberattacks against\&nbsp;the gateways, and messages that should be received from IoT\&nbsp;devices at regular intervals, modify the parameters that express\&nbsp;the trust or distrust between entities. To illustrate its use for\&nbsp;a network of interaction gateways, servers and user equipment,\&nbsp;several detailed time-dependent simulations of the RNNTM are\&nbsp;conducted in the presence of cyberattacks.\&nbsp;</p>
},
  journal = {33rd International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems, Paris, France},
  month = {2025},
  publisher = {IEEE},
  address = {Paris},
  language = {eng},
}