TY - JOUR
T1 - Building In-the-Cloud Network Functions
T2 - Security and Privacy Challenges
AU - Jiang, Peipei
AU - Wang, Qian
AU - Huang, Muqi
AU - Wang, Cong
AU - Li, Qi
AU - Shen, Chao
AU - Ren, Kui
N1 - Publisher Copyright:
© 1963-2012 IEEE.
PY - 2021/12/1
Y1 - 2021/12/1
N2 - Network function virtualization (NFV) has been promising to improve the availability, programmability, and flexibility of network function deployment and communication facilities. Meanwhile, with the advancements of cloud technologies, there has been a trend to outsource network functions through virtualization to a cloud service provider, so as to alleviate the local burdens on provisioning and managing such hardware resources. Promising as it is, redirecting the communication traffic to a third-party service provider has drawn various security and privacy concerns. Traditional end-to-end encryption can protect the traffic in transmit, but it also hinders data usability. This dilemma has raised wide interests from both industry and academia, and great efforts have been made to realize privacy-preserving network function outsourcing that can guarantee the confidentiality of network communications while preserving the ability to inspect the traffic. In this article, we conduct a comprehensive survey of the state-of-the-art literature on network function outsourcing, with a special focus on privacy and security issues. We first give a brief introduction to NFV and pinpoint its challenges and security risks in the cloud context. Then, we present detailed descriptions and comparisons of existing secure network function outsourcing schemes in terms of functionality, efficiency, and security. Finally, we conclude by discussing possible future research directions.
AB - Network function virtualization (NFV) has been promising to improve the availability, programmability, and flexibility of network function deployment and communication facilities. Meanwhile, with the advancements of cloud technologies, there has been a trend to outsource network functions through virtualization to a cloud service provider, so as to alleviate the local burdens on provisioning and managing such hardware resources. Promising as it is, redirecting the communication traffic to a third-party service provider has drawn various security and privacy concerns. Traditional end-to-end encryption can protect the traffic in transmit, but it also hinders data usability. This dilemma has raised wide interests from both industry and academia, and great efforts have been made to realize privacy-preserving network function outsourcing that can guarantee the confidentiality of network communications while preserving the ability to inspect the traffic. In this article, we conduct a comprehensive survey of the state-of-the-art literature on network function outsourcing, with a special focus on privacy and security issues. We first give a brief introduction to NFV and pinpoint its challenges and security risks in the cloud context. Then, we present detailed descriptions and comparisons of existing secure network function outsourcing schemes in terms of functionality, efficiency, and security. Finally, we conclude by discussing possible future research directions.
KW - Network function outsourcing
KW - network function virtualization (NFV)
KW - privacy preservation
UR - https://www.scopus.com/pages/publications/85121734822
U2 - 10.1109/JPROC.2021.3127277
DO - 10.1109/JPROC.2021.3127277
M3 - 文章
AN - SCOPUS:85121734822
SN - 0018-9219
VL - 109
SP - 1888
EP - 1919
JO - Proceedings of the IEEE
JF - Proceedings of the IEEE
IS - 12
ER -