Report on Automotive Industry

 A huge rise in cybercrime indicates that the growth of cybersecurity should be taken seriously. Lack of cyber securities leads to increase in the cyber-attacks. customers are facing a lot of problem by losing their personal and banking data due to the cybercrime. cybercrime is becoming an unpreventable issue. In this situation, the only solution is the advancement in the cyber securities

after all of that now the direction and purpose of hackers have been diverted to the criminally use of that stolen data. the hackers illegally collect data of smart vehicles and use it for their wrong purposes

Findings Automotive Industry

In accordance with the research findings, key trends in automotive manufacturing industries are related are driverless cars. Artificial intelligence, and voice recognition technology in modern vehicles.  

Top Trends in Automotive Manufacturing Industry

1.      Artificial Intelligence of Automotive Industry

The automotive industry is rapidly growing all over the world. In the modern world transportation is the basic need of human being. People usually prefer to use their personal vehicles for their comfort rather than using public transportation. As a result of this demand for vehicles always remain high in the developed markets. Use of Artificial intelligence (Al) technology is a new trend in the automotive industry. Somehow, companies are adopting this trend relatively slow because of cyber security related problems. According to a report, Chinese auto manufacturing companies are rapidly adopting Artificial intelligence (Al) technology in their cars and heavy vehicle (Autotechoutlook.com, 2019). Somehow, IoT related devices in these cars can increase the chances of cyber-attacks. Modern Artificial intelligence (Al) system provide protection from these attacks by detecting and monitoring cyber infection in the vehicles. Artificial intelligence (Al) system can flag abnormal behaviors of cars and ensure contact to the cars security operations center to identify and control risk factors associated with the cyber-attacks in these vehicles.          

2.      Voice Recognition of Automotive Industry

Modern vehicles and cars have installed voice recognition technology that enables the drivers to get assistance in driving by speaking directly to the car functions. Email, text messages, and calls can cause problems for drivers (Globalme.net, 2018). Voice recognition technologies used in the cars enable the driver to control some distracting function while driving without looking down on mobile screens and maps screens. Drivers can control these functions through in-car speech. Drivers can direct message, send emails, turn on/off the music, and attend phone calls using the sound of their voices. Apple car paly, Google android auto, and nuance are driver assistance technologies installed in modern vehicles. Somehow, there are a number of cybersecurity-related challenges associated with this technology (Globalme.net, 2018). These functions can be controlled by third parties and hackers also. Cars manufacturing companies and developers of such voice recognition technology are consistently working on these challenges to make voice recognition technology safe for drivers and car passengers.       

3.      Driverless Cars by Automotive Industry

Driverless cars are the most important trend in the auto manufacturing industry. Driverless cars have some security issues that put emphasis on the need for comprehensive research on driverless cars and cyber security related problems. Driverless cars and self-driving cars were introduced in the market to provide comfort to the drivers. A number of car manufacturing companies like Toyota, BMW, Nissan, Volvo, Audi, General Motors, and Ford are working on this modern trend to dominate the roads and vehicles industry. Cyber attack and external control are the main threats that come to the mind when we talk about driverless cars  (Shaikh & Cheah, 2017). IoT (Internet of Things) as an embedded feature provides support to the vehicles to navigate on busy roads and make split-second decisions regarding the change in road track. Here the risk of becoming a victim of malicious hackers increases. Hackers can get access to these IoT devices and trap a car.  Research claim that self-driving cars or driverless cars are susceptible to hackers. Driverless cars use data retrieved from cloud computing. GPS locations and other data are mainly taken from cloud computing databases. Hackers can access GPS and manipulate the car  (Shaikh & Cheah, 2017). Switching off safety features turn on the problematic features. Without the transfer of constant information cannot be highly encrypted. Delay in this transmission of information can put a vehicle in endangering position.    

Automotive industries do not produce all required parts for self-driving cars at their own manufacturing plant to save time and cost. They purchase several car parts from other companies in ready to use the form to assemble in their vehicles. Manufactures use different coding system that requires alignment with all other parts and coding system to make information transmission compatible. The different coding system creates a problem in alignment and ensuring compatibility in information transmission. These security weaknesses linked with the driverless cars can be exploited by the cybercriminals  (Shaikh & Cheah, 2017). Moreover, hackers can also take advantage of the flaws in the penetration test. Somehow, car manufacturers are addressing this kind of risk through penetration testing. As a quick way around the problem, penetration testing provides an opportunity to the cyber problems and challenges testers to identify the hacker’s actions and other susceptibilities in cars without causing havoc. Thus penetration test and anti-hacker software are the best solutions to the cybercriminal threats in the self-driving vehicles (Shaikh & Cheah, 2017). Famous companies like Tesla, Google, and Toyota are working separately on driverless cars. Because of the lack of integration and sharing of technologies hackers are taking advantage. Manufactures do not share their technologies and development coding with each other to use these technologies as competitive edge but hackers and criminals take it as an opportunity to exploit driverless cars.

Considering this situation we can recommend that all manufacturers of driverless cars should ensure the development of a resilient technology to give protection and security to the cars infrastructures. The automotive industry can stand against cyber threats and vulnerabilities by eliminating the hacker’s access in IoT and other Al devices of automated cars (Shaikh & Cheah, 2017). Moreover, cybersecurity implications in autonomous and automated vehicles can be completed through the collaboration of all modern companies working in cyber technologies.       

Excluding the industry, response government is also taking actions for the security of driverless cars. Malicious influences and hacker's access to the Bluetooth, Wi-Fi, and radio of a car are all possible because of security weaknesses in the driverless cars. US society of Automotive Engineers (SAE) has recently introduced some guidelines and rules that can strengthen the cybersecurity system in autos and driverless smart vehicles.         

Conclusion on Automotive Industry

The whole discussion concludes that the automotive industry is rapidly changing with the advancement in information technology and cyber security systems. Modern smart vehicles are working with artificial intelligence. Voice recognition enable the drivers to control some functions like responding to messages and call or controlling road maps. Driverless cars are the most important trend that is currently in a burning question because of the cyber security issues related to driverless cars. Somehow, government and SAE are taking steps to overcome these problems to reduce the risk of cyber-attacks and hackers’ access. As criminals and hackers can take control on smart vehicles and trap these vehicles for their criminal purposes. Improvement in the cyber securities ensure the securities of the driverless car.