Attacks & Preventing Measure On Cloud Robotics System, A Review with Cloud Heritage Technique

21 Jul

Authors: Ashutosh Kumar, Gaurav Singh Panwar, Gori Sharma, Jivesh Tiwari, Assistant Professor Dr. Rajkumar

Abstract: This study investigates the vulnerability landscape of cloud robotics systems, identifying potential attack vectors that threaten the integrity, availability, and confidentially of robotic operations in a cloud environment. we delve into threats such as data branches, unauthorized access, intruders, and service disruptions within the cloud robotics paradigm. The research proposes a set of preventive measures to fortify this security technique, including the implementation of secure communication protocols, robust access controls, and an intrusion detection system. In this paper, we conduct a comprehensive study of security issues in the real-time cloud robotics environment. By analyzing different attack vectors in cloud robotics networks, we find attacks that manipulate the network resources, microarchitecture resources, and function parameters respectively.

DOI: https://doi.org/10.5281/zenodo.21471731