Scientists assemble the most detailed map of dark matter ever

Dark matter is a mysterious substance that glues galaxies together. This map from the James Webb Space Telescope could help ...
IEEE

Practical Performance of a Distributed Processing Framework for Machine-Learning-based NIDS

Abstract: Network Intrusion Detection Systems (NIDSs) detect intrusion attacks in network traffic. In particular, machine-learning-based NIDSs have attracted attention because of their high detection ...
IEEE

Process-Aware Anomaly Detection in Industrial Control Systems Using Frequency-Based Causal Structure Analysis

Abstract: Critical infrastructures encompass a wide range of process control systems, each with unique security needs. Securing diverse systems is a challenge since they require custom defenses. To ...
GitHub

RNN-DAS: A New Deep Learning Approach for Detection and Real-Time Monitoring of Volcano-Tectonic Events Using Distributed Acoustic Sensing

RNN-DAS is an innovative Deep Learning model based on Recurrent Neural Networks (RNNs) with Long Short-Term Memory (LSTM) cells, developed for real-time Volcano-seismic Signal Recognition (VSR) using ...