Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Vehicles can be considered as a specialized form of Cyber Physical Systems with sensors, ECU''s and actuators working together to produce a coherent behavior. With the advent of external connectivity, a larger attack surface has opened up which not only affects the passengers inside vehicles, but also people around them. One of the main causes of this increased attack surface is because of the advanced systems built on top of old and less secure common bus frameworks which lacks basic authentication mechanisms. To make such systems more secure,  approach this issue as a data analytic problem that can detect anomalous states. To accomplish that  collected data flowing beten different components from real vehicles and using a Hidden Markov Model,  detect malicious behaviors and issue alerts, while a vehicle is in operation. Our evaluations using single parameter and two parameters together provide enough evidence that such techniques could be successfully used to detect anomalies in vehicles. Moreover our method could be used in new vehicles as ll as older ones.
['Sandeep Nair Narayanan', 'Sudip Mittal', 'Anupam Joshi']
I am writing a research paper on a idea OBD_SecureAlert: An Anomaly Detection System for Vehicles
[{"from": "human", "value": "I am writing a research paper on a idea OBD_SecureAlert: An Anomaly Detection System for Vehicles"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Vehicles can be considered as a specialized form of Cyber Physical Systems with sensors, ECU''s and actuators working together to produce a coherent behavior. With the advent of external connectivity, a larger attack surface has opened up which not only affects the passengers inside vehicles, but also people around them. One of the main causes of this increased attack surface is because of the advanced systems built on top of old and less secure common bus frameworks which lacks basic authentication mechanisms. To make such systems more secure,  approach this issue as a data analytic problem that can detect anomalous states. To accomplish that  collected data flowing beten different components from real vehicles and using a Hidden Markov Model,  detect malicious behaviors and issue alerts, while a vehicle is in operation. Our evaluations using single parameter and two parameters together provide enough evidence that such techniques could be successfully used to detect anomalies in vehicles. Moreover our method could be used in new vehicles as ll as older ones."}]