K Sowjanya (Indian Institute of Technology Delhi), Rahul Saini (Eindhoven University of Technology), Dhiman Saha (Indian Institute of Technology Bhilai), Kishor Joshi (Eindhoven University of Technology), Madhurima Das (Indian Institute of Technology Delhi)

The A1 and R1 interfaces in Open Radio Access Networks (O-RAN) play crucial roles in facilitating RAN Intelligent Controller (RIC) communication within the RAN ecosystem. The A1 interface enables high-level policy communication between the Non-Real-Time RIC (Non-RT RIC) and the Near-Real-Time RIC (Near-RT RIC), while the R1 interface connects rApps with the Non-RT RIC to support intelligent RAN operations. Current implementations of both interfaces primarily rely on Transport Layer Security (TLS) to ensure secure communication and Role Based Access Control (RBAC) for authorization. However, the evolving landscape of cyber threats and the movement towards Zero-Trust Architecture (ZTA) demands more advanced security mechanisms. This paper explores the integration of Attribute-Based Encryption (ABE) as a security enhancement for both A1 and R1 communications. ABE offers fine-grained access control by leveraging attributes, providing greater security and flexibility compared to traditional methods. We present a comprehensive threat model, justify the adoption of ABE, and evaluate its advantages over existing solutions. Additionally, we propose a novel ABE-based framework tailored to the A1 and R1 interfaces, emphasizing its scalability, efficiency, and suitability for dynamic and distributed O-RAN environments.

View More Papers

Eclipse Attacks on Monero's Peer-to-Peer Network

Ruisheng Shi (Beijing University of Posts and Telecommunications), Zhiyuan Peng (Beijing University of Posts and Telecommunications), Lina Lan (Beijing University of Posts and Telecommunications), Yulian Ge (Beijing University of Posts and Telecommunications), Peng Liu (Penn State University), Qin Wang (CSIRO Data61), Juan Wang (Wuhan University)

Read More

Vision: Towards True User-Centric Design for Digital Identity Wallets

Yorick Last (Paderborn University), Patricia Arias Cabarcos (Paderborn University)

Read More

VoiceRadar: Voice Deepfake Detection using Micro-Frequency and Compositional Analysis

Kavita Kumari (Technical University of Darmstadt), Maryam Abbasihafshejani (University of Texas at San Antonio), Alessandro Pegoraro (Technical University of Darmstadt), Phillip Rieger (Technical University of Darmstadt), Kamyar Arshi (Technical University of Darmstadt), Murtuza Jadliwala (University of Texas at San Antonio), Ahmad-Reza Sadeghi (Technical University of Darmstadt)

Read More

Truman: Constructing Device Behavior Models from OS Drivers to...

Zheyu Ma (Institute for Network Sciences and Cyberspace (INSC), Tsinghua University; EPFL; JCSS, Tsinghua University (INSC) - Science City (Guangzhou) Digital Technology Group Co., Ltd.), Qiang Liu (EPFL), Zheming Li (Institute for Network Sciences and Cyberspace (INSC), Tsinghua University; JCSS, Tsinghua University (INSC) - Science City (Guangzhou) Digital Technology Group Co., Ltd.), Tingting Yin (Zhongguancun…

Read More