Tech Times

AI vs AI Cybersecurity: Sysdig Documents First LLM-Agent Intrusion in the Wild

AI vs AI cybersecurity arrived in documented form on May 10, when an LLM agent drove a four-pivot intrusion to database exfiltration in under an hour with no human direction. CrowdStrike data puts ...
IEEE

A Novel Contrastive Loss for Zero-Day Network Intrusion Detection

Abstract: Machine learning has achieved state-of-the-art results in network intrusion detection; however, its performance significantly degrades when confronted by a new attack class— a zero-day ...
Devdiscourse

AI, zero trust and threat hunting shape next phase of global cybersecurity defense

Read more about AI, zero trust and threat hunting shape next phase of global cybersecurity defense on Devdiscourse ...
Scientific Research Publishing

Ferrag, M.A., Maglaras, L., Moschoyiannis, S. and Janicke, H. (2020) Deep Learning for Cyber Security Intrusion Detection: Approaches, Datasets, and Comparative Study. Journal ...

ABSTRACT: The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior using deep learning methods and ensuring interpretability of ...
IEEE

Machine learning-based intrusion detection and prevention using cross-layer features in Internet of Things (IoT) networks

Abstract: The IoT has emerged as a significant target for cyber-attacks, particularly with a focus on the routing protocol for low-power and lossy networks (RPL) within Wireless Sensor Networks (WSNs) ...