NDR solutions uncover hidden threats missed by legacy tools by analyzing encrypted traffic, lateral movement, and blind spots ...

At RSA Conference 2025, Cisco unveiled agentic AI capabilities in Cisco XDR, the latest version of Splunk SOAR, and an ...

Researchers at Rice University have developed a new machine learning (ML) algorithm that excels at interpreting the "light ...

Abstract: The machine learning-based approach to network intrusion ... an attention-convolution architecture model for bimodal network intrusion detection in both flow and payload modalities, using ...

Triggered Hardware Trojan Attack on Spiking Neural Networks” was published by researchers at Sorbonne Universite, CNRS and ...

The container orchestration platforms powering today's AI services handle increasingly sensitive intellectual property and ...

particularly in high-dimensional datasets like those found in network intrusion detection. By optimizing feature selection using meta-heuristic algorithms, the model enhances the accuracy and ...

This project implements a Federated Learning approach for Network Intrusion Detection Systems. Instead of centralizing all network data (which may contain sensitive information), the system uses ...

Performance Metrics of the Model: The effectiveness of AI-based hardware Trojan (HT) detection models can be assessed by a range of classification metrics, including accuracy, precision, recall (true ...

Generative AI brings new opportunities to simplify cloud and IT operations. Here’s how IT leaders are using genAI in incident response, security, cloud infrastructure, and finops. WebAssembly ...