Demo: Secure Edge Server for Network Slicing and Resource Allocation in Open RAN
Adhwaa Alchaab, Ayman Younis, Dario Pompili

TL;DR
This paper introduces SnSRIC, a secure, AI-driven network slicing framework for Open RAN that enhances security and resource management, effectively mitigating DDoS attacks while ensuring service quality.
Contribution
The paper presents a novel secure and intelligent network slicing system, SnSRIC, integrating AI for dynamic resource allocation and attack mitigation in Open RAN environments.
Findings
Effective DDoS attack mitigation demonstrated
Dynamic resource allocation maintains service quality
Enhanced security through anomaly detection
Abstract
Next-Generation Radio Access Networks (NGRAN) aim to support diverse vertical applications with strict security, latency, and Service-Level Agreement (SLA) requirements. These demands introduce challenges in securing the infrastructure, allocating resources dynamically, and enabling real-time reconfiguration. This demo presents SnSRIC, a secure and intelligent network slicing framework that mitigates a range of Distributed Denial-of-Service (DDoS) attacks in Open RAN environments. SnSRIC incorporates an AI-driven xApp that dynamically allocates Physical Resource Blocks (PRBs) to active users while enforcing slice-level security. The system detects anomalous behavior, distinguishes between benign and malicious devices, and uses the E2 interface to throttle rogue signaling while maintaining service continuity for legitimate users.
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Taxonomy
TopicsSoftware-Defined Networks and 5G · Energy Efficient Wireless Sensor Networks · Molecular Communication and Nanonetworks
