Securing the internet of robotic things: a comprehensive review on machine learning-based intrusion detection
M Nkoom, SG Hounsinou… - Journal of Cyber Security …, 2024 - Taylor & Francis
ABSTRACT The Internet of Robotic Things (IoRT) emerges from integrating robotics into the
Internet of things (IoT). The dynamic nature of the IoRT environment poses unique security …
Internet of things (IoT). The dynamic nature of the IoRT environment poses unique security …
[HTML][HTML] Analysis of attack intensity on autonomous mobile robots
E Basan, A Basan, A Mushenko, A Nekrasov, C Fidge… - Robotics, 2024 - mdpi.com
Autonomous mobile robots (AMRs) combine a remarkable combination of mobility,
adaptability, and an innate capacity for obstacle avoidance. They are exceptionally well …
adaptability, and an innate capacity for obstacle avoidance. They are exceptionally well …
LSPR23: A novel IDS dataset from the largest live-fire cybersecurity exercise
A Dijk, E Halisdemir, C Melella, A Schu… - Journal of Information …, 2024 - Elsevier
Cybersecurity threats are constantly evolving and becoming increasingly sophisticated,
automated, adaptive, and intelligent. This makes it difficult for organizations to defend their …
automated, adaptive, and intelligent. This makes it difficult for organizations to defend their …
Intrusion Detection System for Robot Operating System using Hybrid Deep learning
V Ravi - 2024 8th International Conference on Electronics …, 2024 - ieeexplore.ieee.org
Robot operating system (RobotOS) has become an important standard middleware in
industry and non-industrial sectors in modern world. Attacks to the RobotOS and its networks …
industry and non-industrial sectors in modern world. Attacks to the RobotOS and its networks …
Enhanced Intrusion Detection in Robot Operating Systems via Grid Search Based Multi-Head Attention Stacked Convolutional Network
This study presents a novel intrusion detection system (IDS) for Robot Operating Systems
(ROS), utilising a hybrid neural network combining 1D Convolutional Neural Networks …
(ROS), utilising a hybrid neural network combining 1D Convolutional Neural Networks …
Attack Datasets for ROS Intrusion Detection Systems
H Kim, S Lee, J Heo, HJ Jo - Journal of the Korea Institute of …, 2024 - koreascience.kr
In recent decades, research and development in the field of industrial robotics, such as an
unmanned ground vehicle (UGV) and an unmanned aerial vehicle (UAV), has been …
unmanned ground vehicle (UGV) and an unmanned aerial vehicle (UAV), has been …
ROS 침입탐지시스템을위한공격데이터셋구축
김형훈， 이승민， 허재웅， 조효진 - 정보보호학회논문지, 2024 - dbpia.co.kr
최근 수년 동안 무인지상차량 및 무인항공기와 같은 Robotics 분야에 대한 연구 및 개발이
활발히 진행되고 있다. 이러한 발전에는 서로 다른 애플리케이션 간의 통신 및 데이터 관리를 …
활발히 진행되고 있다. 이러한 발전에는 서로 다른 애플리케이션 간의 통신 및 데이터 관리를 …