<p>Vehicular fog computing is an advanced paradigm which makes use of nearby end-users or edge devices for communication, configuration, control, storage, and management amongst vehicles. There is an immense threat to security of the VFC network due to high mobility of the vehicles, huge size of the network, and constantly changing network topology. The different types of attacks possible in a VFC network are network profiling, eavesdropping, message sniffing, network jamming, impersonation attack, etc. In view of the fact that it is not feasible to construct software systems that are completely secured, it is crucial to study the efficiency and dependability of the VFC network in the wake of such security breaches. In this paper we recommend a stochastic model for the dependability assessment of a VFC network. The model is presented in the form of a state transition diagram which captures the dynamic behaviour of the events occurring over time in the network. The suggested model for dependability is examined with the help of a semi-Markov process as it makes allowance for the non-Markovian characteristics of the holding times in the system states. Further, the semi-Markov process model is solved to obtain the stationary dependability measures of the VFC network, such as its reliability, availability, confidentiality, and maintainability. The sensitivity analysis of the suggested model is also conducted to examine the responsiveness of the network performance metrics with respect to various set of input parameters. Graphical outcomes concerning the suggested model are presented as well to check its appropriateness.</p>