Cybersecurity Study in 5G Network Slicing Technology: A Systematic Mapping Review

Caceres-Hidalgo, Javier; Avila-Pesántez, Diego

doi:10.1109/etcm53643.2021.9590742

Cited by 9 publications

(7 citation statements)

References 44 publications

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“…These kinds of attacks may result in the attacker getting hold of secrets/cryptographic keys of slice Y as depicted in Fig. 13 [86]. One possible solution to prevent the side channel attacks in network slices is about the strong isolation of slices, i.e., even if an attacker can influence/observe how a code runs in one slice, he should not be able to extract the information on how the other slices run the code in the same hardware.…”

Section: K Denial Of Service To Other Slicesmentioning

confidence: 99%

“…Summary: Side channel attacks attempt to extract information by analyzing physical parameters. This has the capability to break cryptographic operations by extracting secret keys [85], [86]. Possible solutions are strong slice isolation and avoiding the hosting of applications on slices with similar hardware.…”

Section: Side Channel Attacks Across Slicesmentioning

confidence: 99%

“…Leaking data to unintended parties Better slice isolation [32], trust and reputation models [63], computational trust [64], blockchain [65], zero-trust security [66] Legacy Interworking Security Challenges [68] NS makes networks more vulnerable Various security threats due to lack of slice-specific security functions in pre-5G networks Moving to 5G and B5G network structures supporting slice-specific security functions [69], [70] Sealing Between Slices When UE Attached to Several Slices [42] Attack [85], [86] Attack unique to NS Attackers extract information Strong slice isolation, avoid hosting applications on slices with similar hardware [86] phase, most of the time, the slice at this stage is under attack due to improper usage of network functions and resources, and improper handling for slice deactivation. The attacks at this stage can target centralized core elements, cloud storage, and information databases.…”

Section: Ns Makes Network More Vulnerablementioning

confidence: 99%

See 2 more Smart Citations

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: K Denial Of Service To Other Slicesmentioning

confidence: 99%

Section: Side Channel Attacks Across Slicesmentioning

confidence: 99%

Section: Ns Makes Network More Vulnerablementioning

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

View full text Add to dashboard Cite

show abstract

“…Adversaries can also take advantage of the flexibility of orchestration, internal agents, authentication failure, physical downlink control channel, confidentiality failures in the communication channel, sensor networks vulnerabilities, cloud radio access networks vulnerabilities [Jeyakumar and Rajabhushanam, 2019], C-RAN vulnerabilities [Tian et al, 2017], EAP-TLS vulnerabilities [Zhang et al, 2020b], Subscriber Identity Module (SIM) vulnerabilities [Zhao et al, 2021d], machine learning models vulnerabilities [Suomalainen et al, 2020], software-defined mobile networks vulnerabilities, named data networks vulnerabilities [Bertino and Nabeel, 2018], MEC vulnerabilities, UE vulnerabilities [Amgoune and Mazri, 2018;Mahmoud et al, 2021], D2D communication vulnerabilities [Abd-Elrahman et al, 2015a,b], System Information Block (SIB) and RRC message parameters in 5G NR, edge security flaw, key sent over an insecure channel, security flaw in NS [Martini et al, 2020;Kotulski et al, 2017;Sattar et al, 2021;Cáceres-Hidalgo and Avila-Pesantez, 2021;Olimid and Nencioni, 2020], credential theft, devices without robust security mechanisms, 5G-AKA vulnerabilities [Basin et al, 2018;Pari et al, 2019], and security flaws in NFV and SDN [Ahmad et al, 2021[Ahmad et al, , 2019[Ahmad et al, , 2018Taheribakhsh et al, 2020]. Operating Systems (OS) using insecure protocols provide excessive privileges, IoT devices may have different protocols, lack processing robustness, and fail to control sensitive data privacy.…”

Section: Item Description Item Descriptionmentioning

confidence: 99%

A Systematic Literature Mapping on the Security of 5G and Vertical Applications

Sobrinho,

Santos,

Silva

et al. 2023

Preprint

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The deployment of 5G infrastructure is one of the main vectors for new application scenarios since it enables enhanced data bandwidth, low latency, and comprehensive signal coverage. As a result, this communication system supports various vertical applications such as the Industrial Internet of Things, smart health, smart cities, smart grids, and transportation systems. However, these applications bring new challenges to 5G networks due to specific requirements for such scenarios. Furthermore, as software-based technologies, including network slicing, software-defined networks, network function virtualization, and multi-access edge computing are a fundamental part of the 5G architecture, the network can expose these applications to new security and privacy concerns. This study summarizes the existing literature on 5G vertical applications security. We highlight vulnerabilities, threats, attacks, and solutions for 5G vertical applications. We conducted a Systematic Literature Mapping (SLM) to discuss security and privacy challenges regarding the 5G vertical applications. The SLM answered the following research question: what is the state-of-the-art regarding security in 5G networks and vertical applications? We reviewed 389 papers from 2,349 produced by searching with a curated search query and discussed vulnerabilities, threats, attacks, and solutions for 5G vertical applications. Smart cities, Industry 4.0, smart transportation, public services, smart grids, and smart health are vertical applications with relevant security concerns. We observed the need for more research since the 5G and vertical applications continuously evolve. This review also uncovers research gaps and future research directions.

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“…In other words, devices equipped with artificial intelligence have electronic brains that can analyze data and execute the required operations. The term "cybersecurity" has recently emerged due to the frequent use of Internet networks and their ease of access, especially with the emergence of 5G technology [11]. Data, information, and applications on computers or other electronic devices are exposed to theft and access by unauthorized persons to commit a range of electronic crimes.…”

Section: Introductionmentioning

confidence: 99%

The Significance of Machine Learning and Deep Learning Techniques in Cybersecurity: A Comprehensive Review

2023

ijcsm

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People in the modern era spend most of their lives in virtual environments that offer a range of public and private services and social platforms. Therefore, these environments need to be protected from cyber attackers that can steal data or disrupt systems. Cybersecurity refers to a collection of technical, organizational, and executive means for preventing the unauthorized use or misuse of electronic information and communication systems to ensure the continuity of their work, guarantee the confidentiality and privacy of personal data, and protect consumers from threats and intrusions. Accordingly, this article explores the cybersecurity practices that protect computer systems from attacks, hacking, and data thefts and investigates the role of artificial intelligence in this domain. This article also summarizes the most significant literature that explore the roles and effects of machine learning and deep learning techniques in cybersecurity. Results show that machine learning and deep learning techniques play significant roles in protecting computer systems from unauthorized entry and in controlling system penetration by predicting and understanding the behaviour and traffic of malicious software.

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Cybersecurity Study in 5G Network Slicing Technology: A Systematic Mapping Review

Cited by 9 publications

References 44 publications

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

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

A Systematic Literature Mapping on the Security of 5G and Vertical Applications

The Significance of Machine Learning and Deep Learning Techniques in Cybersecurity: A Comprehensive Review

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