RestoPros of Tyler-Longview-Nacogdoches Explains Critical Steps in Professional Water Damage Restoration Process

BECKVILLE, TX - March 11, 2026 - PRESSADVANTAGE - RestoPros of Tyler-Longview-Nacogdoches today outlined the essential ...
Devdiscourse

Blockchain may redefine how cybersecurity systems validate threats

Cybersecurity researchers are warning that the foundations of digital trust are under strain as malware grows more adaptive, evasive and collaborative. In response, a team of Romanian scientists has ...
BW Businessworld

AI Set To Reshape Eurasian Rail Connectivity: Tribhuvan Darbari

Texmaco Defence Systems MD & CEO and SCO Business Council Secretariat Chairman Tribhuvan Darbari discusses how Artificial ...

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 ...
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 ...
GitHub

Intrusion Detection System (IDS) with Machine Learning

This project implements an Intrusion Detection System using machine learning algorithms to detect malicious network activities. It analyzes network traffic patterns, packet headers, and flow data to ...
National Academies of Sciences%2c Engineering%2c and Medicine

Making Machine Learning Safer in High-Stakes Settings

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
IEEE

Comparative Analysis of Centralized and Federated Intrusion Detection in IoT-Enabled Cyber-Physical Systems Under Data and Label-Skew

Abstract: Cyber-Physical Systems (CPS) increasingly leverage Internet of Things (IoT) technologies to enable seamless communication and control across distributed devices. However, the decentralized ...