Abstract:
Fog computing contains fog nodes with minimal capabilities that are strategically placed near data-producing sources. These fog nodes are complete
small interactive tasks that require low latency. In the cloud data center,
bigger, more latency-tolerant activities can be done. Multiple sensors and
actuators in smart cars automate various activities such as entertainment,
acceleration, and traffic monitoring, which are common use cases for fog computing. Over the air (OTA) is a platform focused on fog computing for safely
distributing updates to smart cars. This enables automakers to send directly
updates to the vehicles without having to visit the dealership.
A traffic Simulation and Analysis framework based on bottom-up process
modeling and simulation using real-scale road structures have been proposed.
A dynamic update simulation model has been developed in which the primary
goal being an algorithm proposed to devise the most optimal, secure OTA
update strategy and tests look at how OTA updates are affected by network
threats. The fog nodes and vehicles in the simulation have been modeled
as agents enabling us to understand the collective behavior of the agents in
the simulated environment. Furthermore, the formulation and evaluation of
secure update strategies on congested roads are discussed. The functionality
of the algorithm is demonstrated using simplistic examples and then applied
using four scenarios against different traffic congestion values. Validation of
the proposed algorithm and its performance has also been conducted, the
details of which are mentioned later on in the study. The main goal of this
research is to assist in developing effective threat management plans for OTA
updates.
