To prevent agents from obeying malicious instructions hidden in external data, all text entering an agent's context must be ...

Rohith Vegesna is a software engineer specializing in secure, cloud-connected fueling systems, with a strong focus on IoT, real-time monitoring, and cybersecurity.

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

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

Assistant Professor Yupeng Zhang and his team, along with researchers from the University of California, Irvine, received a ...

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

AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...

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 ...

1 Shandong University of Traditional Chinese Medicine, Jinan, China 2 Shandong University Affiliated Shandong Provincial Third Hospital Department of Clinical Laboratory, Jinan, China Introduction: ...

Abstract: Traditional intrusion detection systems (IDSs), leveraging machine learning (ML) algorithms, have improved the detection accuracy of unknown attacks by continuously updating ML models but ...