A collection of academic papers / Git repos / conference talks / frameworks / tools related to cellular security and privacy.

This advanced and complex project implements an AI-powered optimization system for 5G Open RAN networks. Using machine learning and deep learning, the system optimizes network performance by detecting anomalies, predicting network traffic, and dynamically allocating resources.

An O-RAN compliant runtime intrusion detection system (xApp) for layer-3 (L3) celluar attack detection

5G gNodeB Centralized Unit written in Rust

A module that can be used to model and simulate O-RAN-like behavior in ns-3.

MATLAB-based testing tools for the srsRAN Project https://github.com/srsran/srsRAN_Project

Intent driven security automation framework

Python Sample App for SMO Systems like Ericsson Intelligent Automation Platform. We aim to be ORAN aligned. Use this to kickstart your own app!

Traffic Steering (TS) xApp for OAIC O-RAN Testbed

RAN Fusion a NextG RAN Simulator

An O-RAN compliant xApp supporting fine-grained and security-aware statistics monitoring over 5G RAN and UEs

Go Sample App for SMO Systems like Ericsson Intelligent Automation Platform. We aim to be ORAN aligned. Use this to kickstart your own app!

Repository to hold security intents in standard template format.

xApp for QoS management in O-RAN network contexts

An O-RAN compliant xApp employing deep learning to detect 5G cellular network threats and anomalies

Performance evaluation of several DRL algorithms in a discrete action-space for resource allocation in Open RAN

Automated deployment and testing Using SMO package and ONAP Python SDK

This repository contains the findings for scheduling heterogeneous payloads within the Distributed Unit (DU) of a 5G Radio Access Network (RAN)

An open source cellular research project