Abstract: This paper presents LogiCode, a novel framework that leverages Large Language Models (LLMs) for identifying logical anomalies in industrial settings, moving beyond the traditional focus on ...

Security vendors and their customers have spent considerable time debating where to draw the line between “legitimate” AI agents and “malicious” bots. A 31-day campaign against a major consumer ...

Abstract: This research presents the development of an anomaly and data breach detection system using Python to analyze internet traffic logs. When comparing various machine learning algorithms, it ...

Live CitiBike API → Data Ingestion (Go) → Feature Engineering (Go) → Anomaly Detection (Python) → Storage (MySQL) → Dashboards ### Components **1. Data Ingestion** (`internal/api/api.go`) - Polls ...

Anomaly detection can be powerful in spotting cyber incidents, but experts say CISOs should balance traditional signature-based detection with more bespoke methods that can identify malicious activity ...

Morgan Pinder is a writer at GameRant and a graduate researcher at Deakin University in Australia. Their research interests are in video games, environmentalism and gothic media. Morgan’s most recent ...

With the rapid growth of data volume in digital library and the increasingly complex network environment, traditional network security measures are no longer able to meet their security needs. In ...

DeepOD is an open-source python library for Deep Learning-based Outlier Detection and Anomaly Detection. DeepOD supports tabular anomaly detection and time-series ...