CASPER: Context-aware anomaly detection system for industrial robotic arms
With the arrival of industry 4.0, industrial control systems are converted into “smart” industrial
cyber-physical systems that depend on high interconnectivity enabled by ubiquitous …
cyber-physical systems that depend on high interconnectivity enabled by ubiquitous …
Artifact: CASPER: Context-Aware Anomaly Detection System for Industrial Robotic Arms
This artifact presents a guideline to reproduce the anomaly detection experiment provided in
the study of “CASPER: Context-Aware Anomaly Detection System for Industrial Robotic …
the study of “CASPER: Context-Aware Anomaly Detection System for Industrial Robotic …
Learning based anomaly detection for industrial arm applications
V Narayanan, RB Bobba - Proceedings of the 2018 Workshop on Cyber …, 2018 - dl.acm.org
Smart Manufacturing (SM) is envisioned to make manufacturing processes more efficient
through automation and integration of networked information systems. Robotic arms are …
through automation and integration of networked information systems. Robotic arms are …
An end-to-end context aware anomaly detection system
Anomaly detection (AD) is very important across several real-world problems in the heavy
industries and Internet-of-Things (IoT) domains. Traditional methods so far have categorized …
industries and Internet-of-Things (IoT) domains. Traditional methods so far have categorized …
A survey of anomaly and automation from a cybersecurity perspective
M Donevski, T Zia - 2018 IEEE Globecom Workshops (GC …, 2018 - ieeexplore.ieee.org
As the technological advances mature towards widespread adoption of Internet of Things
(IoT) and Cyber Physical Systems (CPS), there come new security challenges …
(IoT) and Cyber Physical Systems (CPS), there come new security challenges …
Behaviour-based anomaly detection of cyber-physical attacks on a robotic vehicle
Security is one of the key challenges in cyberphysical systems, because by their nature, any
cyber attack against them can have physical repercussions. This is a critical issue for …
cyber attack against them can have physical repercussions. This is a critical issue for …
AADS: A Noise-Robust Anomaly Detection Framework for Industrial Control Systems
Abstract Deep Neural Networks are emerging as effective techniques to detect sophisticated
cyber-attacks targeting Industrial Control Systems (ICSs). In general, these techniques focus …
cyber-attacks targeting Industrial Control Systems (ICSs). In general, these techniques focus …
Roboads: Anomaly detection against sensor and actuator misbehaviors in mobile robots
Mobile robots such as unmanned vehicles integrate heterogeneous capabilities in sensing,
computation, and control. They are representative cyber-physical systems where the …
computation, and control. They are representative cyber-physical systems where the …
Case Study: Architecting a Solution to Detect Industrial Control System Attacks
DA Yeager, L Vega, A Brown, H Burke… - 2020 IEEE Systems …, 2020 - ieeexplore.ieee.org
This case study presents an anomaly detection solution to prove the power of machine
learning algorithms to identify anomalies, such as cyber intrusions, within the domain of …
learning algorithms to identify anomalies, such as cyber intrusions, within the domain of …
A survey on explainable anomaly detection for industrial internet of things
Anomaly detection techniques in the Industrial Internet of Things (IIoT) are driving traditional
industries towards an unprecedented level of efficiency, productivity and performance. They …
industries towards an unprecedented level of efficiency, productivity and performance. They …