TechRepublic

Network Anomaly Detection : Methods, Systems and Tools

Network anomaly detection is an important and dynamic research area. Many Network Intrusion Detection methods and Systems (NIDS) have been proposed in the literature. In this paper, the authors ...
TechRepublic

Anomaly Detection in Network Traffic Using Selected Methods of Time Series Analysis

In this paper, a few methods for anomaly detection in computer networks with the use of time series methods are proposed. The special interest was put on Brown’s exponential smoothing, seasonal ...
Crowdfund Insider

Haiqu: Quantum Computers Better at Anomaly Detection

Haiqu, a quantum software company, said it has demonstrated that today’s quantum computers could detect anomalies more ...

MicroEJ and Boon Logic Partner to Simplify Edge AI with Unsupervised Learning for All Embedded Devices

PicoAI is a lightweight architecture optimized for resource-constrained microcontrollers and embedded microprocessors, and ...
Scientific Research Publishing

Covariant-Scale: Riemannian Manifold Learning for Scale-Invariant Video Anomaly Detection ()

Video-based anomaly detection in urban surveillance faces a fundamental challenge: scale-projective ambiguity. This occurs when objects of different physical sizes appear identical in camera images ...
Forbes

US Army Analytics Group – Cybersecurity Anomaly Detection 1000X Faster With Less False Positives

The US Army Analytics Group (AAG) provides analytical services for various organizational operations and functions, including cybersecurity. AAG signed a Cooperative Research and Development Agreement ...