SSOrch: MATLAB simulation code and results for anomaly detection orchestration in O-RAN

This archive supports the manuscript SSOrch: Intelligent and Adaptive Security Service Orchestrator for O-RAN, under review at Computer Networks. SSOrch places anomaly detection (AD) models on the nodes of an O-RAN network with a mixed-integer linear program (MILP). The MATLAB code includes the fixed seed list, and the data include the results of every seed and the combined results. Moreover, the Python notebooks produce the figures of the paper. The README describes the folders and how to run the simulations.