There has been a wide range of technological improvements and breakthroughs, allowing new vehicles to evolve and adapt to changes to obtain a competitive advantage. Consumers' lives have been made easier by autonomous vehicles, such as cybersecurity, the internet of things (IoT), 5G technology, V2X communication, etc. These autonomous vehicles may examine system weaknesses and threats with the use of the market knowledge dimension and the knowledge integration mechanism, and they can then collaborate to reduce all potential risks and vulnerabilities. By concentrating on potential flaws and risks in automotive vehicles, cyber security, and IoT play important roles in advancing the physical world.
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Our Automobiles have begun to function, feel, and appear more and more like computers. They assist us with navigation, communication, entertainment, braking, and even steering by using a variety of sensors and screens. The concepts of linked and autonomous driving fall within the wide category of “intelligent vehicles,” which encompasses two distinct but related technologies (Watney & Draffin, 2017). The term “Internet of Things” (IoT) refers to a network of connected objects with sensors that may be accessed by computers or smartphones for monitoring or control. These gadgets can exchange data as well as collect it. The IoT concept's key strength is the significant impact it will have on a variety of facets of daily life and the behavior of potential users. The main goal is to provide the reader with the chance to comprehend what has been done (protocols, algorithms, proposed solutions), what needs to be addressed, which are the enabling factors of this evolutionary process, and which are its weaknesses and risk factors (Atzori et al., 2010). The Market Knowledge Dimension and Knowledge Market Integration will support the analysis, evaluation, implementation, design, and development of the IoT and cyber security system to protect smart drives and deliver technological advancement to address risks and vulnerabilities in the automotive industry.
IoT is an emerging technology that enhances the performance of the vehicle, helps the driver, increases the comfort for the passenger, rescues the passenger in case of accidents, in providing secured parking, avoids road rule violations, etc. It is a promising technology to leave a secure and comfortable life. Automakers can now produce more vehicles, optimize maintenance procedures, enhance safety features, and gather and analyze real-time data to assure predictive maintenance, lower downtime, and boost overall efficiency. The connectivity, credibility, availability, flexibility, confidentiality, and compatibility of the globe can all be improved by IoT (Jeong et al., 2018). Managing risks, repairing holes in systems, and enhancing system resilience are all aspects of cybersecurity strategies. The National Highway Traffic Safety Administration (NHTSA) of the United States defines automotive cybersecurity as “the protection of automotive electronic systems, communication networks, control algorithms, software, users, and underlying data from malicious attacks, damage, unauthorized access, or manipulation” (Morris et al., 2018). With the aid of a variety of hardware and software solutions, cyber-security safeguards data and systems for processing or storing it (Juneja et al., 2020). Without cyber security, businesses are helpless against hacking and data breaches and turn into easy targets for attackers (Alhayani et al., 2021).
Modern automobiles are increasingly interconnected. Electronic control units (ECUs) are used to regulate and monitor the internal vehicle network and its related subsystems to achieve internal connection (Loukas, 2015). Computer applications encourage improved production procedures, develop new business models, lower costs and risks, enable real-time data collection, integrate a rapidly growing number of software-based applications, and enhance product performance (Liu et al., 2012). The adoption of the Internet of Things (IoT) in design, development, and manufacturing processes has enhanced the performance of products (Aris et al., 2015), but it has also increased reliance on design, engineering, manufacturing, and component outsourcing, which in turn depends on establishing trust with suppliers through increased knowledge-sharing.