Today’s automobile is highly sophisticated. A modern car typically has more than 100 microprocessors, 50 electronic control units and million lines of software codes.  Automobiles now also have the connected devices with Bluetooth, built in cellular communications and Wi-Fi for remote start and may other applications.  The advanced automotive technologies such as vehicle to infrastructure, vehicle to vehicle, vehicle to cloud and vehicle to everything.  Technology makes cars vulnerable to hackers. The advanced features incorporated to the automotive and connected cars such as automotive braking, automotive speed regulations, remote start and in line driving are the vulnerable areas for vehicle safety from cyberattack.

The automation in automobile industry results the wide and complex system design, which runs over internet and its associated connected networks worldwide. These complex system designs experience an increase in vulnerabilities and potential attack against these systems. Cyber security rose out of necessity to protect these systems and the information contained within them. Now a days, cyber security is the protection cell for automotive industry. A weakness in one area can affect the rest of the enterprise and result in car failure, factory slowdowns, hacking of customer data or theft of intellectual properties. These areas are on priority to for advancement of the automotive industry.

Cybersecurity Protection Method for Automotive Vehicles:

• Multilayer Approach: The approach focuses on a vehicle’s entry points, which could be potentially vulnerable to cyberattack in every possible way that is wireless and wired. A layered approach to vehicle cybersecurity reduces the possibility of successful vehicle cyber – attack and mitigates the potential consequences of a successful vehicle intrusion. The systematic approach to developing layered cybersecurity protections for vehicle includes following:
• A risk based prioritized identification and protection process for critical – vehicle control system.
•  Real time detection and rapid response to potential vehicle cybersecurity incidents.
• The architecture, methods and measures that design- in cyber resiliency and facilitate rapid recovery from incidents when they occur.
• Methods for effective intelligence and information sharing across the industry to facilitate quick adoption of cybersecurity awareness and collaboration across the automotive industry.

• Anomaly – Based Intrusion Detection: Algorithm based analysis of the automotive vehicle which are based on the big data analysis of the driver’s behaviour while driving. The measures have been taken from his past decision and alert updates are being shared to driver on regular interval about the pattern of decision taken by the driver when the new command is given to the system.
• Cyber Security Firmware Updates: Automotive electronics update mechanism through physical and over – the – air means has been passed to the OEM and owner of the vehicle.

Challenges of Cyebrsecurity in Automotive Vehicles:

The ultimate goal of cybersecurity in automotive vehicle is to save lives, prevents injuries, and reduce the economic cost of vehicle crashes. This goal is potentially achieved through the implementation of the driver assistant technologies and cybersecurity goes hand – in – hand with this process. The cybersecurity in automotive vehicles depends upon the collective effort of government agencies, vehicle manufacturers, suppliers, and public. The awareness of various safety measures in current and future vehicles for its advanced automation and connectivity.

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