Psychology Today

Anomaly Puzzles: How the Brain Detects the Unexpected

These short anomaly-detection puzzles are designed to illustrate how reasoning often depends on identifying inconsistencies ...
CNET

Malware Has Gotten Smarter. Here's How Your Antivirus Has, Too

Antivirus software used to hunt for known malware, but now it’s predicting suspicious behavior before an attack fully lands.
Governing

AI Can Balance Government’s Books. It Can’t Understand What They Mean.

Public-sector fiscal decisions carry legal and political consequences that generic management tools can’t handle. Humans need ...
IEEE

Anomaly Detection Algorithms for Real-Time Log Data Analysis at Scale

Abstract: In recent years, Artificial Intelligence for IT Operations (AIOps) has gained popularity as a solution to various challenges in IT operations, particularly in anomaly detection. Although ...
GitHub

NodeSentry: Effective Node-Level Anomaly Detection in HPC Systems via Coarse-Grained Clustering and Fine-Grained Model Sharing

The framework encompasses two principal phases: the offline model training phase and the online anomaly detection phase. During the offline model training phase, we first preprocess the raw MTS. We ...
Scientific Research Publishing

Prototype-Based Dynamic Autoencoders for Real-Time Anomaly Detection and Explainability ()

Real-time detection of anomalies in data streams is a foundation of modern applied analysis in complex systems. It enables experts to design rapid, efficient, reliable, and high-performance decision ...
Oak Ridge National Lab

Adaptive Anomaly Detection for Identifying Attacks in Cyber-Physical Systems: A Systematic Literature Review

Modern cyberattacks in cyber-physical systems (CPS) rapidly evolve and cannot be deterred effectively with most current methods which focused on characterizing past threats. Adaptive anomaly detection ...
IEEE

MICHC-NN: An Offline Industrial Control Anomaly Detection Algorithm Based on Maximum Information Coefficient

Abstract: The industrial control anomaly detection algorithm effectively monitors and identifies anomalies in industrial control systems, ensuring timely issue detection to maintain system reliability ...
Scientific Research Publishing

Killourhy, K.S. and Maxion, R.A. (2009) Comparing Anomaly-Detection Algorithms for Keystroke Dynamics. 2009 IEEE/IFIP International Conference on Dependable Systems & Networks ...

ABSTRACT: We introduce in this paper MIES-TR, an intelligent model for real-time syllable boundary detection during keyboard typing. This innovative approach positions the syllable as an intermediate ...