Learn how to protect Model Context Protocol (MCP) from quantum-enabled adversarial attacks using automated threat detection and post-quantum security.

Abstract: Unsupervised anomaly detection (UAD) methods typically detect anomalies by learning and reconstructing the normative distribution. However, since anomalies constantly invade and affect their ...

The GlassWorm supply-chain campaign has returned with a new, coordinated attack that targeted hundreds of packages, ...

Overview: Automated Python EDA scripts generate visual reports and dataset summaries quicklyLibraries such as YData Profiling ...

Python libraries for cybersecurity help automate threat detection, network monitoring, and vulnerability analysis. Tools like Scapy, Nmap, and Requests enable penetration testing and network security ...

Abstract: Unsupervised medical anomaly detection aims to identify abnormal images by training exclusively on normal samples, thereby enabling the detection of disease related irregularities without ...

PythoC lets you use Python as a C code generator, but with more features and flexibility than Cython provides. Here’s a first look at the new C code generator for Python. Python and C share more than ...

ROS-based Multisensor Fusion Digital Twin (MFDT) platform for real-time monitoring and defect detection of Laser-Directed Energy Deposition (L-DED) Additive Manufacturing (AM) process.

Python has become one of the most popular programming languages out there, particularly for beginners and those new to the hacker/maker world. Unfortunately, while it’s easy to get something up and ...

A complete end-to-end Streaming Data Analytics (SDA) project that generates real-time weather data, applies SDA filters (Moving Average, EWMA), detects anomalies using Isolation Forest, and visualizes ...