Dec. 22, 2023, 2:10 a.m. | Ömer Sen, Simon Glomb, Martin Henze, Andreas Ulbig

cs.CR updates on arXiv.org arxiv.org

The increasing digitization of smart grids has made addressing cybersecurity
issues crucial in order to secure the power supply. Anomaly detection has
emerged as a key technology for cybersecurity in smart grids, enabling the
detection of unknown threats. Many research efforts have proposed various
machine-learning-based approaches for anomaly detection in grid operations.
However, there is a need for a reproducible and comprehensive evaluation
environment to investigate and compare different approaches to anomaly
detection. The assessment process is highly dependent on …

anomaly detection benchmark context cybersecurity cybersecurity issues detection digitization evaluation intrusion intrusion detection key machine order power power supply research smart supply systems technology threats

SOC 2 Manager, Audit and Certification

@ Deloitte | US and CA Multiple Locations

Open-Source Intelligence (OSINT) Policy Analyst (TS/SCI)

@ WWC Global | Reston, Virginia, United States

Security Architect (DevSecOps)

@ EUROPEAN DYNAMICS | Brussels, Brussels, Belgium

Infrastructure Security Architect

@ Ørsted | Kuala Lumpur, MY

Contract Penetration Tester

@ Evolve Security | United States - Remote

Senior Penetration Tester

@ DigitalOcean | Canada