Devdiscourse

AI moves to the core of cyber defense as attacks grow more complex

Intrusion detection systems, long constrained by high false-positive rates and limited adaptability, are being re-engineered ...
Tech Xplore

Forensic system cuts IoT attack analysis time by three-quarters

A new forensic framework designed specifically for the Internet of Things (IoT) is discussed in the International Journal of ...

iOT365 Introduces LLM-Native Autonomous SOC for Industrial Environments

Autonomous, LLM-native SOC unifying IDS, SIEM, and SOC to eliminate Tier 1 and Tier 2 operations in OT and critical ...
Frontiers

Automated highly multiplex detection system for respiratory pathogens in canines

Introduction: Canine infectious respiratory diseases (CIRDs) are prevalent causes of respiratory illnesses in dogs. Clinical signs are non-specific, including coughing, rhinorrhea, and fever, making ...
IEEE

Intrusion Detection using Federated Learning with Application of Federated Dropout

Abstract: The massive proliferation of IoT devices in recent years creates new challenges in securing distributed systems, especially when it comes to intrusion detection and mitigation in real-time.
NBC Chicago

Outreach workers distribute new fentanyl detection devices in Chicago neighborhoods

A new fentanyl detection device is being distributed to residents in Chicago neighborhoods that have seen high rates of opioid-related overdoses. Outreach workers with the West Side Heroin and Opioid ...
IEEE

DDoS Attack Detection in IoT: A Comparative Resource and Performance Analysis of Deep Learning and Machine Learning Models

Abstract: The proliferation of Internet of Things (IoT) devices has increased susceptibility to Distributed Denial of Service (DDoS) attacks, exposing the limitations of traditional security ...