Abstract
The focus of automobile industry is towards producing efficient driverless cars that are risk free and with zero tolerance to safety violations thereby following in the footsteps of autonomous robots. In this study, the author elaborates on the vulnerabilities relevant to internet of things technology implementation in these connected cars, commonly termed as internet of vehicles. This topic has already been discussed frequently by the research community; however, the main contribution of the paper is to establish the connection of information management with autonomous systems, an aspect that other literatures lack. The focus of the study is on presenting a brief introduction to the foundation technologies used in the connected vehicles. It also aims to summarize the various security methods that have been used infrequently and could be further explored in future research.
Highlights
Owing to the current advancement in technology, the autonomous industry’s predilection for Autonomous Vehicles (AVs) is plausible
The results indicated that Support Vector Machine (SVM) performance with an error rate of 0.19%, was better than Feed-Forward Neural Network (FFNN) FFNN was observed to be more efficient in determining abnormality as compared to SVM based Intrusion Detection System (IDS)
FUTURE RESEARCH AND CONCLUSION The artificial intelligence in these cars is employed into various areas it possesses a great potential to influence the automation capabilities
Summary
Owing to the current advancement in technology, the autonomous industry’s predilection for Autonomous Vehicles (AVs) is plausible. It has been observed that automobile companies have proliferated ever since leading market giants like Tesla, Volvo and Bosch have contributed towards this field of research and towards the field of Industry 4.0. The concept of self-driving cars was first introduced by Norman Bel Geddes in 1939 GM’s exhibit which instigated the automotive industry to persevere in this domain. All the efforts are put forth to achieve a singleton goal of making these autonomous robots, a commercial product with complete social acceptance. Among the various technologies used in these self-driving cars, the most prominent one is, Internet of Things (IoT) which encompasses the ability to transfer data over a network without human interaction. The efficient operation of an AV requires extensive efficient information management for service delivery
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