A Survey and Analysis of Architecture and Models of Network Slicing in 5G

Mohammed, Chnar Mustafa; Shaikhah, Salar Kheder

doi:10.1109/iec54822.2022.9807564

Cited by 5 publications

(3 citation statements)

References 33 publications

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“…Usually, the network function sharing is enabled between slices shared by 'trusted' vertical partners. Detecting these attacks is more challenging when they originate from the 'trusted' vertical The current 3GPP standard proposed to use authentication and communication security using TLS (Transport Layer Security) [59], [60]. However, TLS is insufficient to secure the slices against these attacks [61], [62].…”

Section: B Potential For Fraud or Data Leakagementioning

confidence: 99%

“…This attack can be performed by exploiting shared NFs [32]. Furthermore, existing solutions for securing NS against such attacks, including TLS [59], [60], are not sufficient to secure NS. This requires future research work to explore advanced trusting mechanisms, such as trust and reputation models [63], computational trust [64], blockchain [65] or zero-trust security [66] towards mitigating fraud or data leakage attacks against NS.…”

Section: B Potential For Fraud or Data Leakagementioning

confidence: 99%

See 1 more Smart Citation

A Survey on Network Slicing Security: Attacks, Challenges, Solutions and Research Directions

De Alwis,

Porambage,

Dev

et al. 2024

IEEE Commun. Surv. Tutorials

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The dawn of softwarized networks enables Network Slicing (NS) as an important technology towards allocating endto-end logical networks to facilitate diverse requirements of emerging applications in fifth-generation (5G) mobile networks. However, the emergence of NS also exposes novel security and privacy challenges, primarily related to aspects such as NS life-cycle security, inter-slice security, intra-slice security, slice broker security, zero-touch network and management security, and blockchain security. Hence, enhancing NS security, privacy, and trust has become a key research area toward realizing the true capabilities of 5G. This paper presents a comprehensive and up-to-date survey on NS security. The paper articulates a taxonomy for NS security and privacy, laying the structure for the survey. Accordingly, the paper presents key attack scenarios specific to NS-enabled networks. Furthermore, the paper explores NS security threats, challenges, and issues while elaborating on NS security solutions available in the literature. In addition, NS trust and privacy aspects, along with possible solutions, are explained. The paper also highlights future research directions in NS security and privacy. It is envisaged that this survey will concentrate on existing research work, highlight research gaps and shed light on future research, development, and standardization work to realize secure NS in 5G and beyond mobile communication networks.

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Section: B Potential For Fraud or Data Leakagementioning

confidence: 99%

Section: B Potential For Fraud or Data Leakagementioning

confidence: 99%

A Survey on Network Slicing Security: Attacks, Challenges, Solutions and Research Directions

De Alwis,

Porambage,

Dev

et al. 2024

IEEE Commun. Surv. Tutorials

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show abstract

“…Hence, network slicing requires from all nodes in the network to be able to separate individual data streams and provide differentiated QoS. The end-to-end network infrastructure for network slicing is issued in [175], [176], [177], [178]. The network slicing control framework layer is comprised of radio slice controllers, transport slice controllers and core slice controllers, controlling the RAN, crosshaul and core domains respectively [176].…”

Section: Multi Tenant Networkmentioning

confidence: 99%

Toward Greener 5G and Beyond Radio Access Networks—A Survey

Larsen

Christiansen

Ruepp

et al. 2023

IEEE Open J. Commun. Soc.

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Mobile network traffic is increasing and so is the energy consumption. The Radio Access Network (RAN) part is responsible for the largest share of the mobile network energy consumption, and thus; an important consideration when expanding mobile networks to meet traffic demands. This work analyses how the energy consumption of future mobile networks can be minimised by using the right RAN architecture, share the network with other operators and implementing the most efficient energy minimising technologies in the RAN. It is explored how the different approaches can be realised in real life networks as well as the research state of the art is highlighted. Furthermore, this work provides an overview of future research directions for 6G energy saving potentials. Different energy saving contributions are evaluated by a common methodology for more realistic comparison, based on the potential energy saving of the overall mobile network consumption. Results show that implementing selected technologies and architectures, the mobile network overall energy consumption can be reduced by approximately 30%, corresponding to almost half of the RAN energy consumption. Following this, a set of guidelines towards an energy optimised mobile network is provided, proposing changes to be made initially and in the longer run for brownfield network operators as well as a target network for greenfield network operators.

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