📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Artifact: CASPER: Context-Aware Anomaly Detection System for Industrial Robotic Arms (2023)

First Author: Kayan H

Attributed to: Academic Centre of Excellence in Cyber Security Research - Cardiff University funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1109/percomworkshops56833.2023.10150236

Publication URI: https://api.elsevier.com/content/abstract/scopus_id/85164199608

Type: Conference/Paper/Proceeding/Abstract