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Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
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Secure and Lightweight Cloud-Assisted Video Reporting Protocol over 5G-Enabled Vehicular Networks.

Lewis Nkenyereye1, Joonho Kwon2, Yoon-Ho Choi3

  • 1School of Computer Science and Engineering, Pusan National University, Busan 46241, Korea. nkenyele@pusan.ac.kr.

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This study introduces a secure and lightweight protocol for 5G vehicular networks, enhancing real-time video reporting. It offers efficient authorization and reduced computational overhead compared to existing methods.

Keywords:
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Area of Science:

  • Vehicular Networks
  • 5G Technology
  • Network Security

Background:

  • Fourth generation (4G) LTE and IEEE 802.11p face latency and scalability issues for real-time video reporting in vehicular networks.
  • Fifth-generation (5G) networks offer a promising solution but require robust security and privacy measures.
  • Existing secure video reporting protocols in 5G vehicular networks are limited by public key certificates and costly pairing operations.

Purpose of the Study:

  • To propose a secure and lightweight protocol for cloud-assisted video reporting in 5G-enabled vehicular networks.
  • To address security and privacy concerns hindering the adoption of 5G vehicular networks for real-time video services.
  • To reduce computational overhead and improve efficiency compared to conventional methods.

Main Methods:

  • Developed a novel protocol utilizing anonymous credentials for entity authorization.
  • Employed lightweight security primitives, avoiding expensive bilinear pairing operations.
  • Evaluated the protocol's performance against the Eiza-Ni-Shi protocol.

Main Results:

  • The proposed protocol achieves entity authorization using anonymous credentials, enhancing privacy.
  • It significantly minimizes computational overhead by using lightweight security primitives.
  • Evaluation demonstrates reduced computation and communication time for cryptographic primitives compared to the Eiza-Ni-Shi protocol.

Conclusions:

  • The proposed protocol provides a secure and efficient solution for cloud-assisted video reporting in 5G vehicular networks.
  • It overcomes the limitations of existing methods, paving the way for wider adoption of secure real-time video services.
  • The focus on lightweight primitives makes it suitable for resource-constrained vehicular environments.