Unmasking Vulnerabilities: Adversarial Attacks against DRL-based Resource Allocation in O-RAN-Reference-Cited by-同舟云学术

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Unmasking Vulnerabilities: Adversarial Attacks against DRL-based Resource Allocation in O-RAN

Published:2024-06-09 Issue: Volume: Page:2378-2383
ISSN:
Container-title:ICC 2024 - IEEE International Conference on Communications
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Author:

Ergu Yared Abera¹,Nguyen Van-Linh¹,Hwang Ren-Hung²,Lin Ying-Dar²,Cho Chuan-Yu³,Yang Hui-Kuo³

Affiliation:

1. National Chung Cheng University (CCU),Dept. of Computer Science and Information Engineering,Chiayi,Taiwan

2. College of Artificial Intelligence, National Yang Ming Chiao Tung University (NYCU),Taiwan

3. Industrial Technology Research Institute (ITRI),Information and Communications Research Lab,Taiwan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10622104/10622158/10623131.pdf?arnumber=10623131

Reference13 articles.

1. Intelligence and Learning in O-RAN for Data-Driven NextG Cellular Networks

2. OpenRAN Gym: AI/ML development, data collection, and testing for O-RAN on PAWR platforms

3. Understanding O-RAN: Architecture, Interfaces, Algorithms, Security, and Research Challenges

4. Toward Modular and Flexible Open RAN Implementations in 6G Networks: Traffic Steering Use Case and O-RAN xApps

5. AI Testing Framework for Next-G O-RAN Networks: Requirements, Design, and Research Opportunities

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