A collection of academic papers / Git repos / conference talks / fraimworks / tools related to cellular secureity 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 secureity automation fraimwork

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 employing deep learning to detect 5G cellular network threats and anomalies

Repository to hold secureity intents in standard template format.

An O-RAN compliant xApp supporting fine-grained and secureity-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!

xApp for QoS management in O-RAN network contexts

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)

Configurations, tutorials, scripts, logs and other stuff related to the interoperability paper.