AZoRobotics on MSN

AI-Powered Blockchain Model Defends 6G Networks From Cyberattacks With 97 % Accuracy

This AI-driven intrusion detection system integrates blockchain and federated learning, ensuring robust security for 6G ...
Scientific Research Publishing

Intelligent Agents in Cybersecurity: Deep Learning to Analyze User Behavior Applying ()

The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...
Communications of the ACM

Integrating Machine Learning into Physical Security Architecture

The integration of AI, specifically machine learning, into physical security architecture shows promise in helping organizations better identify threats, improve response times and aid security ...
Visual Studio Magazine

Artificial Immune Systems for Intrusion Detection Using C#

Artificial Immune Systems for Intrusion Detection Using C# Dr. James McCaffrey from Microsoft Research presents a demonstration program that models biological immune systems to identify network ...
Semiconductor Engineering

Using Deep Learning to Secure The CAN Bus From Advanced Intrusion Attacks

A technical paper titled “CANShield: Deep Learning-Based Intrusion Detection Framework for Controller Area Networks at the Signal-Level” was published by researchers at Virginia Tech and others. “As ...