Vol. 4 No. 1 (2024): African Journal of Artificial Intelligence and Sustainable Development
Articles

Human-Machine Collaboration for Incident Response in Cybersecurity Operations for Autonomous Vehicles

Dr. Aicha Belaïd
Associate Professor of Computer Science, École Normale Supérieure de Kouba (ENSK), Algeria
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Published 23-04-2024

How to Cite

[1]
Dr. Aicha Belaïd, “Human-Machine Collaboration for Incident Response in Cybersecurity Operations for Autonomous Vehicles”, African J. of Artificial Int. and Sust. Dev., vol. 4, no. 1, pp. 297–321, Apr. 2024, Accessed: Nov. 07, 2024. [Online]. Available: https://africansciencegroup.com/index.php/AJAISD/article/view/98

Abstract

n addition, in a shared control setting, both (a) mode changes and (b) period changes require the driver to give a reaction swiftly, while still being insensitive to the current instance, and to be timely in closing the loop. In shared control settings, state of affairs can be different than in shared control settings. This means that effort allocation can fall below desired level when the system has autonomous and interlaced tasks which supplement to obedience in autonomously eradicating the duties assigned by a human, and whose inspection speeds subsides only when the gauge developed to sense the goals and then finding inspiration from it tells that changes can be timed from the driver. for accommodating this recent layer tasks for only the human is affected unlike traditional shared control where cooperation can be damaged. However, planning the amount of individualized autoes successive driving is formidable task for humans and can lead to inefficiency [1].

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