IEEE

Edge Computing-Based Distributed Intrusion Detection Systems via Multi-hop Split Learning

Abstract: Intrusion Detection Systems (IDS) play a critical role in monitoring network traffic and protecting against cyber threats. As networks evolving toward Beyond 5G (B5G) or 6G, edge computing ...

BTR: Cybersecurity Leaders Warn of AI-Accelerated Threats, Identity Fragility, and ...

WASHINGTON, DC, UNITED STATES, February 25, 2026 /EINPresswire.com/ — Cybersecurity leaders from government, enterprise, and ...

Root Problems: 3 Native Dallas Trees a Threat to Sewer Lines

Mexican sycamore, cedar elm species among riskiest trees for residential sewer damage We're seeing local sycamores and ...
IEEE

Adaptive Intrusion Detection Systems: Leveraging Machine Learning for Real-Time Threat ...

Abstract: The current study employs the formulation of the concept of an Adaptive Intrusion Detection Systems (AIDS) which can detect sophisticated and widespread cyber threats. The proposed security ...
Devdiscourse

From zero-day attacks to quantum security: Here's how AI reshapes cyber defense

This challenge is examined in Application of AI in Cyberattack Detection: A Review, published in the journal Sensors, where researchers explore how artificial intelligence techniques, from ensemble ...