A new study reports that Random Forest and Gaussian and Sigmoid kernel Support Vector Machines, combined with systematic ...
A cluster-preserving feature selection framework cut intrusion detection features from 78 to 27 on the CICIDS2017 benchmark while Random Forest and XGBoost maintained roughly 99.9 percent accuracy.
After more than two decades building enterprise data systems, Manish Anand’s work has expanded from designing and stabilizing ...
Physics-residual detection of CAN masquerade attacks on the ROAD dataset — physics-informed vs data-driven IDS attribution study - ihmorol/pinn-cps-robo ...
An industry-standard, research-oriented Network Intrusion Detection System (NIDS) powered by Self-Supervised Learning (SSL), Deep Autoencoders, Contrastive Encoders (SimCLR), and Tabular Transformers.
Sunil Kumar Yadav and colleagues reportedly improved intrusion detection accuracy by up to 22.9 percentage points through ...
Dublin, Nov. 05, 2026 (GLOBE NEWSWIRE) -- "Satellite Cybersecurity Market Size, Share & Trends Analysis - Global Opportunity Analysis & Industry Forecast (2026-2036)" has been added to ...
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5 Docker containers that make my Linux server easier to maintain
Running a server gets complicated quickly. These tools help keep things under control!
In 2025, the cybersecurity landscape is undergoing a dramatic shift as Machine Learning (ML) algorithms advance from reactive ...
IntroductionIn October 2026, a large-scale unauthorized access incident was discovered in the "Onamae.com Desktop Cloud" ...
In the previous Vol. 94, using the unauthorized access incident at GMO Internet Group as a starting point, we organized the ...
Iowa State professor Manimaran Govindarasu told a Penn State audience that AI power grid security needs defenders to use AI ...
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