collaborators

9 papers

cs.LG2026

Agentic AI-RAN: Enabling Intent-Driven, Explainable and Self-Evolving Open RAN Intelligence

Zhizhou He, Yang Luo, Xinkai Liu +4

Open RAN (O-RAN) exposes rich control and telemetry interfaces across the Non-RT RIC, Near-RT RIC, and distributed units, but also makes it harder to operate multi-tenant, multi-ob…

cs.NI2026

Agentic AI for 6G: A New Paradigm for Autonomous RAN Security Compliance

Sotiris Chatzimiltis, Mahdi Boloursaz Mashhadi, Mohammad Shojafar +2

Agentic AI systems are emerging as powerful tools for automating complex, multi-step tasks across various industries. One such industry is telecommunications, where the growing com…

cs.CR2026

Solving the Post-Quantum Control Plane Bottleneck: Energy-Aware Cryptographic Scheduling in Open RAN

Neha Gupta, Hamed Alimohammadi, Mohammad Shojafar +2

The Open Radio Access Network (O-RAN) offers flexibility and innovation but introduces unique security vulnerabilities, particularly from cryptographically relevant quantum compute…

cs.NI2026

Talk Like a Packet: Rethinking Network Traffic Analysis with Transformer Foundation Models

Samara Mayhoub, Chuan Heng Foh, Mahdi Boloursaz Mashhadi +2

Inspired by the success of Transformer-based models in natural language processing, this paper investigates their potential as foundation models for network traffic analysis. We pr…

cs.CR2026

Towards a Multi-Layer Defence Framework for Securing Near-Real-Time Operations in Open RAN

Hamed Alimohammadi, Samara Mayhoub, Sotiris Chatzimiltis +2

Securing the near-real-time (near-RT) control operations in Open Radio Access Networks (Open RAN) is increasingly critical, yet remains insufficiently addressed, as new runtime thr…

cs.CR2025

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs

Sotiris Chatzimiltis, Mohammad Shojafar, Mahdi Boloursaz Mashhadi +1

Next generation Radio Access Networks (RANs) introduce programmability, intelligence, and near real-time control through intelligent controllers, enabling enhanced security within…