Nils Ole Tippenhauer

TL;DR: Previous work on physics-based anomaly detection based on a unified taxonomy that allows us to identify limitations and unexplored challenges and to propose new solutions is reviewed.

TL;DR: This system, referred to as DP3T, provides a technological foundation to help slow the spread of SARS-CoV-2 by simplifying and accelerating the process of notifying people who might have been exposed to the virus so that they can take appropriate measures to break its transmission chain.

TL;DR: Random Forest, a supervised machine learning algorithm, was applied to features extracted from network traffic data with the aim of accurately identifying IoT device types from the white list, achieving perfect detection of unauthorized IoT devicetypes and perfect classification of white listed types.

TL;DR: In this article, the authors describe and analyze a system for secure and privacy-preserving proximity tracing at large scale, which aims to minimise privacy and security risks for individuals and communities and guarantee the highest level of data protection.

TL;DR: The BATtle of the Attack Detection ALgorithms (BATADAL) is the most recent competition on planning and management of water networks undertaken within the Water Distribution Systems Analysis...