Secure Keying Scheme for Network Slicing in 5G Architecture

Porambage, Pawani; Miché, Yoan; Kalliola, Aapo; Liyanage, Madhusanka; Ylianttila, Mika

doi:10.1109/cscn.2019.8931330

Cited by 23 publications

(17 citation statements)

References 12 publications

(12 reference statements)

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“…Stealing legitimate user identities and credentials. Dictionary attacks and brute force attacks belongs to this category Using different authentication methods for different slices with proper slice isolation [35] Message replay attacks Spoofs transmitted frames and re-transmits them to act as a legitimate user Enabling slicing at the device and adding fields like timestamp to data, and provide strong isolation with enhanced authentication mechanisms [35], [52], [55] Message modification Alters the legitimate message by deleting, adding, changing or reordering it Enabling slicing at the device and hashing data with slice specific keys [55], [56] Masquerading Impersonate an legitimate user and trying to gain unauthorized privileges Slice isolation in order to minimize unauthorized privileges and using powerful key management and authentication mechanisms [35], [51], [52], [56] Thus, the slicing based approach is cost-effective and faster than deploying whole new networks for each IoT application. In this way, network slicing provides the required dynamicity for IoT applications.…”

Section: B Improving Dynamicitymentioning

confidence: 99%

“…In [50] and [64], they have proposed methods to mitigate IoT based DDoS attacks through slice isolation and edge computing respectively. While secure keying scheme for network slicing was presented in [56], service-oriented authentication framework was presented in [35]. However, new scientific investigations have to be conducted in mitigating other types of security attacks by using network slicing.…”

Section: Improving Securitymentioning

confidence: 99%

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Survey on Network Slicing for Internet of Things Realization in 5G Networks

Wijethilaka

Liyanage

2021

IEEE Commun. Surv. Tutorials

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292

124

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Internet of Things (IoT) is an emerging technology that makes people's lives smart by conquering a plethora of diverse application and service areas. In near future, the fifthgeneration (5G) wireless networks provide the connectivity for this IoT ecosystem. It has been carefully designed to facilitate the exponential growth in the IoT field. Network slicing is one of the key technologies in the 5G architecture that has the ability to divide the physical network into multiple logical networks (i.e. slices) with different network characteristics. Therefore, network slicing is also a key enabler of realisation of IoT in 5G. Network slicing can satisfy the various networking demands by heterogeneous IoT applications via dedicated slices. In this survey, we present a comprehensive analysis of the exploitation of network slicing in IoT realisation. We discuss network slicing utilisation in different IoT application scenarios, along with the technical challenges that can be solved via network slicing. Furthermore, integration challenges and open research problems related to the network slicing in the IoT realisation are also discussed in this paper. Finally, we discuss the role of other emerging technologies and concepts, such as blockchain and Artificial Intelligence/Machine Learning(AI/ML) in network slicing and IoT integration.

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Section: B Improving Dynamicitymentioning

confidence: 99%

Section: Improving Securitymentioning

confidence: 99%

Survey on Network Slicing for Internet of Things Realization in 5G Networks

Wijethilaka

Liyanage

2021

IEEE Commun. Surv. Tutorials

Self Cite

292

124

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“…The VIKOR multicriteria decision-making (MCDM) approach was proposed in a previous study [25] for network slicing in a 5G environment. This approach finds node significance (resource and topology attributes) and ranks the nodes accordingly.…”

Section: A Secure Network Slicingmentioning

confidence: 99%

T-S3RA: Traffic-Aware Scheduling for Secure Slicing and Resource Allocation in SDN/NFVEnabled 5G Networks

Ramadhan¹

2021

IJETT

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Network slicing and resource allocation play pivotal roles in software-defined network (SDN)/network function virtualization (NFV)-assisted 5G networks. In 5G communications, the traffic rate is high, necessitating high data rates and low latency. Deep learning is a potential solution for overcoming these constraints. Secure slicing avoids resource wastage; however, DDoS attackers can exploit the sliced network. Therefore, we focused on secure slicing with resource allocation under massive network traffic. Traffic-aware scheduling is proposed for secure slicing and resource allocation over SDN/NFV-enabled 5G networks. In this approach (T-S3RA), user devices are authenticated using Boolean logic with a password-based key derivation function. The traffic is scheduled in 5G access points, and secure network slicing and resource allocation are implemented using deep learning models such as SliceNet and HopFieldNet, respectively. To predict DDoS attackers, we computed the Renyi entropy for packet classification. Experiments were conducted using a network simulator with 250 nodes in the network topology. Performance was evaluated using metrics such as throughput, latency, packet transmission ratio, packet loss ratio, slice capacity, bandwidth consumption, and slice acceptance ratio. T-S3RA was implemented in three 5G use cases with different requirements, including massive machine-type communication, ultra-reliable low-latency communication, and enhanced mobile broadband.

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“…If the keys from the primary authentication are used within the slices, new and independent keys must be generated for each slice by using a key derivation function [9]. Some solutions for secure keying have been proposed [42], but key management in network slicing must be further investigated. Examples of inter-slice isolation enabling technologies include tag-(using e.g., MPLS), VPN-(using e.g., SSL/TLS), or VLAN-based isolation [29].…”

Section: ) 5g Customer Devicesmentioning

confidence: 99%

5G Network Slicing: A Security Overview

Olimid

Nencioni

2020

IEEE Access

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The fifth-generation (5G) of cellular networks is currently under deployment by network operators, and new 5G end-user devices are about to be commercialized by many manufacturers. This is just a first step in the 5G's development, and the true potential of 5G is still far from being reached. Currently, one of the main 5G technologies under the interest of the research community is the network slicing. Network slicing will allow exploiting the 5G infrastructure to flexibly and efficiently provide heterogeneous services (e.g., voice communication, video streaming, e-health, vehicular communication). Like every new technology, one of the critical aspects that need to be considered is the security. In this article, we spotlight the security in 5G network slicing. We highlight threats and recommendations, which are presented in terms of life-cycle security, intra-slice security, and inter-slice security. Furthermore, we identify and discuss open security issues related to network slicing. INDEX TERMS 5G, Network Slicing, Security.

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Secure Keying Scheme for Network Slicing in 5G Architecture

Cited by 23 publications

References 12 publications

Survey on Network Slicing for Internet of Things Realization in 5G Networks

Survey on Network Slicing for Internet of Things Realization in 5G Networks

T-S3RA: Traffic-Aware Scheduling for Secure Slicing and Resource Allocation in SDN/NFVEnabled 5G Networks

5G Network Slicing: A Security Overview

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