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Found 12 papers, 0 papers with code
Terahertz Communications and Sensing for 6G and Beyond: A Comprehensive View
Different from earlier surveys, this paper presents a comprehensive treatment and technology survey on THz communications and sensing in terms of the advantages, applications, propagation characterization, channel modeling, measurement campaigns, antennas, transceiver devices, beamforming, networking, the integration of communications and sensing, and experimental testbeds.
On Explainability in AI-Solutions: A Cross-Domain Survey
It shows that the heterogeneity of reasons and methods of and for explainability lead to individual explanatory frameworks.
Predictive Relay Selection: A Cooperative Diversity Scheme Using Deep Learning
In this paper, we propose a novel cooperative multi-relay transmission scheme for mobile terminals to exploit spatial diversity.
Information Theory Signal Processing Information Theory
A Simple Cooperative Diversity Method Based on Deep-Learning-Aided Relay Selection
Opportunistic relay selection (ORS) has been recognized as a simple but efficient method for mobile nodes to achieve cooperative diversity in slow fading channels.
The Road Towards 6G: A Comprehensive Survey
As of today, the fifth generation (5G) mobile communication system has been rolled out in many countries and the number of 5G subscribers already reaches a very large scale.
Discussing the Feasibility of Acoustic Sensors for Side Channel-aided Industrial Intrusion Detection: An Essay
While reducing cost and effort for set up, operation and maintenance, and increasing the time to operation or market respectively as well as the efficiency, this also increases the attack surface of enterprises.
Intrusion Detection
Cryptography and Security
Computers and Society
Using Temporal and Topological Features for Intrusion Detection in Operational Networks
Industrial systems are commonly used for several decades, updates are often difficult and expensive.
Highly Scalable and Flexible Model for Effective Aggregation of Context-based Data in Generic IIoT Scenarios
To keep track of this data in order to detect attacks and errors in the production site, it is necessary to smartly aggregate and evaluate the data.
Evaluation of Machine Learning-based Anomaly Detection Algorithms on an Industrial Modbus/TCP Data Set
In the context of the Industrial Internet of Things, communication technology, originally used in home and office environments, is introduced into industrial applications.
Devil in the Detail: Attack Scenarios in Industrial Applications
In the past years, industrial networks have become increasingly interconnected and opened to private or public networks.
Modern Problems Require Modern Solutions: Hybrid Concepts for Industrial Intrusion Detection
In order to enable SMEs to cope with the growing threat in the cyberspace, the research project IUNO Insec aims at providing and improving security solutions that can be used without specialised security knowledge.
Time is of the Essence: Machine Learning-based Intrusion Detection in Industrial Time Series Data
Matrix Profiles perform well with almost no parameterisation needed.
