Artificial Intelligence enabled threat detection for Blockchain attacks mainly involved in the application of deep learning and machine learning techniques to identify and mitigate vulnerable and ...

Abstract: The ubiquitous data streaming through the Internet of Things (IoT) creates security risks. Intrusion detection systems (IDS) based on machine learning can support user security. Generative ...

This project provides an advanced Personal Protective Equipment (PPE) detection system using the YOLOv11 deep learning architecture. The objective is to automate the process of identifying whether ...

Abstract: Distributed Intrusion Detection Systems (DIDS) in resource-constrained edge environments have become increasingly important due to the development of the Industrial Internet of Things (IIoT) ...

Discover how predictive AppSec transforms vulnerability management through AI, empowering teams to anticipate issues before they arise.

Note: This README is an ultra-condensed summary of the research reports published by Unpatentable.org. To view the full innovation documentation and explore the complete research, use the links at the ...