Tech Xplore

Watching the detectors: Researchers probe efficacy—and danger—of AI detection tools

Patrick Traynor, Ph.D., has questions. When the professor and interim chair of the University of Florida Department of ...
Combat Aviator on MSN

Mobile IADS hunting: USAF SEAD vs. Russian S-300/400 systems

The thunderous roar of jet engines pierces the pre-dawn darkness as a formation of F-35 Lightning II fighters slides through ...
Security Boulevard

Best SOC Platform

Cyber threats are evolving faster than traditional security teams can respond. Organizations across industries face sophisticated ransomware attacks, insider threats, phishing campaigns, advanced ...
Microsoft

Exposing Fox Tempest: A malware-signing service operation

Fox Tempest is a financially motivated threat actor operating a malware‑signing‑as‑a‑service (MSaaS) used by other ...

5 ways to fortify your network against the new speed of AI attacks

As attackers get more sophisticated and persistent, IT workers have to step up their game as well. Here's how to do that in ...

Continuous Detection, Continuous Response: Mate Security Says Converged Reasoning May Define The Next SOC Architecture

That idea is at the center of Continuous Detection, Continuous Response (CDCR), a new framework implemented through Mate ...
IEEE

VSCode-v2: Dynamic Prompt Learning for General Visual Salient and Camouflaged Object Detection With Two-Stage Optimization

Abstract: Salient object detection (SOD) and camouflaged object detection (COD) are related but distinct binary mapping tasks, each involving multiple modalities that share commonalities while ...
IEEE

Research on Network Intrusion Detection of Automation System Based on Machine Learning

Abstract: In the context of the increasingly urgent demand for network security protection of automation systems, this paper proposes a new network intrusion detection algorithm that integrates ...