Understanding the security implications in O-RAN with abusive adversaries

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Open-Radio Access Network (O-RAN) is considered the next scalable solution, which aims to devolve the network into Near-real-time RIC and Non-real-time RIC to have far more flexibility in services with adaptable components. This disaggregation, however, will have broader security implications, primarily arising because of the use of legacy systems in the new architecture. Current threat models take a lighter tone towards the evaluation of security measures. Thus, strict adversarial methods must be adopted, which can consider scenarios of cyber-vandalism in such networks. Based on this ideology, the article presents security implications posed by abusive adversaries in the offloading procedures. This methodology provides a viewpoint on how an adversary forms predictive methods on when to attack the system, which is followed by mitigation mechanisms for the network to avoid it from happening. The work is based on the Markov Decision Process (MDP) and a Fuzzy Inference System (FIS), which uses Synthetic Data Augmentation for Tabular Data (SMOTE) to generate a set of metrics that can offer a high probability of attack in the transition mode to the adversary. The implications are presented using a synthetic dataset created on the backbone of the simulated scenario in NS3 and followed by mitigation strategies.
Original languageEnglish
Title of host publication10th EAI International Conference on Industrial Networks and Intelligent Systems: Proceedings
PublisherSpringer
Pages215-235
Number of pages21
Publication statusPublished - 31 Jul 2024
Event10th EAI International Conference on Industrial Networks and Intelligent Systems - Da Nang, Viet Nam
Duration: 20 Feb 202421 Feb 2024
Conference number: 10
https://iniscom.eai-conferences.org/2024/

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
ISSN (Print)1867-8211
ISSN (Electronic)1867-822X

Conference

Conference10th EAI International Conference on Industrial Networks and Intelligent Systems
Abbreviated titleEAI INISCOM 2024
Country/TerritoryViet Nam
CityDa Nang
Period20/02/202421/02/2024
Internet address

Fingerprint

Dive into the research topics of 'Understanding the security implications in O-RAN with abusive adversaries'. Together they form a unique fingerprint.

Cite this