Home labs are synonymous with experimentation tools and self-hosted services, some useful, others quirky (but just as helpful ...

With the exponential rise in drone activity, safely managing low-flying airspace has become a major issue. Using a network of ...

A configuration file is used to instantiate the specified quantity of CAN agents, which are utilized by the system. Additional items like jitter-adders can be easily hooked to provide errors while ...

This IDS focuses on detecting intrusion attempts by matching patterns in network ... also using auxiliary methods such as hashing and tries for indexing or rule-based detection.

AI lies at the heart of pedestrian detection, enabling systems to learn and adapt to different scenarios. To improve accuracy, manufacturers must invest in deep learning models capable of analyzing ...

Machine learning (ML)-based intrusion detection systems (IDSs) recently have been demonstrated to be an effective tool for protecting the systems in IIoT. However, the vulnerability of ML-based IDSs ...

IDPS-ESCAPE (Intrusion Detection and Prevention Systems for Evading Supply Chain Attacks and Post-compromise Effects), part of the CyFORT project: open-source SOAR system powered by a dedicated ...

Gas detection with CO, CO 2, and O 2 sensors from MSR-Electronic ... The door of the chamber is equipped with a double-locking handle system and a special seal. The double door system prevents toxic, ...

What many people don’t realize is the extent to which their community drinking water systems can be damaged by fire, how their water is affected and what they can do about it. As an ...

the district can ensure continuous improvement in its security measures. The introduction of AI-powered weapons detection systems has been a transformative experience for LCISD. Students ...