IEEE

Anomaly Detection in IoT Networks: A Deep Learning Approach Using Autoencoders

Abstract: The current fast proliferation of the Internet of Things (IoT) networks has made anomaly detection and security more difficult. Traditional methods are not able to detect hostile activities ...
IEEE

Adaptive Network Intrusion Detection Using Fine-Tuned Random Forest with PCA

Abstract: In the dynamic realm of network security, intrusion detection systems (IDS) must evolve to accurately detect both established and novel threats. This research presents an adaptive intrusion ...
Visual Studio Magazine

Anomaly Detection Using K-Means Clustering with JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, implemented with JavaScript. Compared to other anomaly detection techniques, ...
C&EN

De Novo Design of α-helical Peptide Nanopores for Single-Molecule Detection Using Helix Packing Motifs

Department of Biotechnology and Life Science, Tokyo University of Agriculture and Technology, Tokyo 183-8538, Japan ...