Tech Xplore

Can smart cameras improve evacuations? A new approach to smarter crowd mapping

Emergency evacuations during natural disasters like earthquakes and tsunamis increasingly rely on advanced technology to ...

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

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

Network Intrusion Detection System Using Machine Learning and Ns2 in Smart City Networks

Abstract: This research pioneers an NS2 (Network Simulator 2)-driven Network Intrusion Detection System (NIDS) for smart city cybersecurity, leveraging NS2's discrete-event simulation to model ...
IEEE

Adversarial Machine Learning Attacks Against Network Intrusion Detection Systems: Classification Analysis

Abstract: In recent years much research has been focused on the improvement of Network-based Intrusion Detection Systems (NIDS) through the implementation of Machine Learning (ML) approaches. However, ...
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 ...