An international reserch team developed two deep learning-based IDS models to enhance cybersecurity in SCADA systems. The ...

ISO/PAS 8800, focused on safety of AI applications in road vehicles, can also serve engineers in medical, industrial, rail, ...

The increasing complexity of modern chemical engineering processes presents significant challenges for timely and accurate anomaly detection. Traditional ...

Researchers and government agencies are turning to artificial intelligence to solve one of spaceflight’s fastest-growing ...

Most large financial institutions already operate some version of a hybrid architecture. Rules screen for known patterns and ...

An international research team developed a multi-stage intrusion detection system that uses supervised and unsupervised AI techniques to detect and mitigate cyber threats in smart renewable energy ...

Abstract: Credit card fraud detection presents a significant challenge due to the extreme class imbalance in transaction datasets. Traditional machine learning models struggle to achieve high recall ...

As agent hype fades, machine learning quietly proves it’s still essential.

According to God of Prompt on Twitter, a proactive cyberdefense plan should employ AI for early threat detection, continuous network monitoring, and regular defense updates. As reported by the God of ...

Launching a digital wallet today involves far more than enabling payments. As the digital wallet trends 2026 show high adoption of digital wallets, so do the challenges like increasingly sophisticated ...

src/ # Core system ├── monitoring/ # Resource collection ├── preprocessing/ # Data cleaning & feature engineering ├── anomaly_detection/ # ML model (Isolation Forest) ├── adaptive_engine/ # Decision ...

Abstract: The proliferation of large-scale Internet of Things (IoT) networks introduce significant challenges for real-time anomaly detection, particularly due to the massive volume, high speed, and ...