作者
Romil Rawat, Anand Singh Rajawat, Vinod Mahor, Rabindra Nath Shaw, Ankush Ghosh
发表日期
2021
期刊
Machine Learning for Robotics Applications
页码范围
107-123
出版商
Springer Singapore
简介
Robots and self-ruling frameworks by and large are set to endure comparative online protection issues generated at live environment of Internet world. The weak design and malfunction of firmware and software of robotic application can open the doors for cyber vulnerabilities like ransomware and DoS attack. The robotic framework has been distinguished and implemented into heterogeneous domains including military applications, home automation, IoT-enabled devices, autonomous cars and vehicles, surveillance systems. This is not just stressing for basic errands, for example, those performed by careful or military robots yet in addition for family robots, for example, vacuum cleaners or for video chat robots, bargain security and well-being of their proprietors. What will occur if these robots are hacked? This research aims to present a review on the online protection against cyber vulnerabilities and threats …
引用总数
学术搜索中的文章
R Rawat, AS Rajawat, V Mahor, RN Shaw, A Ghosh - Machine Learning for Robotics Applications, 2021