An Efficient Intrusion Detection Solution for Near-Real-Time Open-RAN

The rapid adoption of Open Radio Access Network (Open-RAN) architectures has brought unprecedented innovation opportunities in modern telecommunications networks. However, this evolution also introduces novel security challenges, particularly in demanding scenarios where swift decision-making is cri...

Full description

Saved in:
Bibliographic Details
Main Authors: Amachaghi, Emmanuel N., Abdulkareem, Sulyman, Chatzimiltis, Sotiris, Shojafar, Mohammad, Foh, Chuan H.
Format: Conference Proceeding
Language:English
Subjects:
Computer architecture
Computers
Decision making
Ensemble learning
Intrusion detection
Intrusion Detection System
Machine Learning
Network security
Open Radio Access Network
Open RAN
Real-time systems
Technological innovation
Telecommunications
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The rapid adoption of Open Radio Access Network (Open-RAN) architectures has brought unprecedented innovation opportunities in modern telecommunications networks. However, this evolution also introduces novel security challenges, particularly in demanding scenarios where swift decision-making is critical. In this paper, we conduct an in-depth investigation into model poisoning attacks in ensemble learning, highlighting their implications for network security, and provide a detailed demonstration of our proposed Open-RAN Intrusion Detection System (IDS), which is seamlessly incorporated into the security module of the near Real-Time RAN Intelligent Controller (nearRT-RIC). The strategic placement of the IDS within the nearRT-RIC ensures its operation within the demanding 10 ms to 1 second control loop range, enabling nearRT intrusion detection capabilities. Through rigorous evaluation and experimentation, our solution showcases promising results in enhancing network security without compromising performance.
ISSN:2642-7389
DOI:10.1109/ISCC61673.2024.10733615