Security teams often spend days manually turning long incident reports and threat writeups into actionable detections by ...
Abstract: Objective: Walking on irregular terrains is a common situation in everyday life. The accurate detection of gait events is of paramount importance for characterizing and analyzing gait. While ...
Identity-based attacks are one of the primary paths attackers use to breach corporate networks. Tenfold shows how Identity ...
Rapid detection of large vessel occlusion (LVO) is critical for timely endovascular therapy in acute ischemic stroke. While artificial intelligence (AI) algorithms show promise in automating LVO ...
Scientists at the U.S. Naval Research Laboratory (NRL), working with Florida International University's (FIU) Global Forensic and Justice Center, have demonstrated a new method for detecting trace ...
ClickFix attacks have evolved to feature videos that guide victims through the self-infection process, a timer to pressure targets into taking risky actions, and automatic detection of the operating ...
ABSTRACT: Purpose: The purpose of this study is to develop a scalable, risk-aware artificial intelligence (AI) framework capable of detecting financial fraud in high-throughput digital transaction ...
HTM-CDFK: An Online Industrial Control Anomaly Detection Algorithm based on Hierarchical Time Memory
Abstract: With the rapid advancement of industrial structures, many factories are deploying anomaly detection systems. However, most existing anomaly detection algorithms are unsuitable for high-noise ...
Customs and Border Protection is continuing to work on developing algorithmic systems to conduct automated inspections of vehicles at the border, with the providers of these systems still in the ...
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