Edge Computing and Its Convergence With Blockchain in 5G and Beyond: Security, Challenges, and Opportunities

Bhat, Showkat Ahmad; Sofi, Ishfaq Bashir; Chi, Chong-Yung

doi:10.1109/access.2020.3037108

Cited by 43 publications

(16 citation statements)

References 158 publications

(194 reference statements)

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“…A key responsibility in safeguarding customers’ secrets and upholding the confidence involved, especially at the Edge network, should be rendered, e.g., a digitalized building constructed with many IoT devices, which can be a prime target due to its huge quantity of personal data produced. Therefore, a more regarded approach to protect the privacy of customers and gain their confidence is to make sure that data processing occurs at the Edge network or node of the house [ 68 ].…”

Section: Security and Privacy Of Computing Paradigmsmentioning

confidence: 99%

A Survey of Security in Cloud, Edge, and Fog Computing

Ometov

Molua

Komarov

et al. 2022

Sensors

122

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The field of information security and privacy is currently attracting a lot of research interest. Simultaneously, different computing paradigms from Cloud computing to Edge computing are already forming a unique ecosystem with different architectures, storage, and processing capabilities. The heterogeneity of this ecosystem comes with certain limitations, particularly security and privacy challenges. This systematic literature review aims to identify similarities, differences, main attacks, and countermeasures in the various paradigms mentioned. The main determining outcome points out the essential security and privacy threats. The presented results also outline important similarities and differences in Cloud, Edge, and Fog computing paradigms. Finally, the work identified that the heterogeneity of such an ecosystem does have issues and poses a great setback in the deployment of security and privacy mechanisms to counter security attacks and privacy leakages. Different deployment techniques were found in the review studies as ways to mitigate and enhance security and privacy shortcomings.

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Section: Security and Privacy Of Computing Paradigmsmentioning

confidence: 99%

A Survey of Security in Cloud, Edge, and Fog Computing

Ometov

Molua

Komarov

et al. 2022

Sensors

122

View full text Add to dashboard Cite

show abstract

“…However, the authors introduced nonautonomous device registration and management overhead that may not scale well on large deployments. Bhat et al [33] created a comprehensive overview of different research challenges of edge computing along with security issues and current mitigations. They also identified the challenges, impact, and risks associated with integrating blockchain into edge computing.…”

Section: A Edge Computingmentioning

confidence: 99%

“…Moreover, the total consumption of energy is high for edge devices in a public blockchain. However, Bhat et al [33] also demonstrated that permissioned blockchains significantly reduce the requirements for processing and storage. Accordingly, the authors have proposed the integration of blockchain into edge computing in the future.…”

Section: Edge Computingmentioning

confidence: 99%

Privacy Preservation of User Identity in Contact Tracing for COVID-19-Like Pandemics Using Edge Computing

et al. 2021

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Pandemic and infectious disease outbreaks put pressure on health authorities and require lockdowns. These outbreaks, which strain limited healthcare resources, must be swiftly controlled and monitored. A large number of healthcare authorities are currently investigating automated systems to support outbreak monitoring and control. However, current contact tracing systems face many privacy, participation, and power constraints. Furthermore, elderly or less financially able individuals often cannot participate in automated contact tracing due to not owning a smartphone. This paper proposes a new system that enables health authorities to track exposure among individuals participating in the automated system, aid health authorities in interviewing non-participating individuals, and minimize the processing required by offloading to nearby edge computing devices. The proposed system utilizes edge servers to assist health authorities in tracking users who withdraw from or are unable to use contact tracing. Edge computing devices have access to more contextual information, resulting in minimal data collection and thus enabling businesses, houses, and offices to participate in contact tracing as locations. Edge computing devices enable location-based data collection of contact tracing data using proximity-based sensors for offices, homes, and shops, thereby assisting health authorities to notify users of exposure without disclosing the identities of businesses or individuals. Moreover, the proposed system reduces the overall power for end users up to 97% by delegating contact tracing to nearby edge computing devices. In addition, the system mitigates data poisoning attacks that target individuals' smartphones, edge devices, or cloud servers by utilizing blockchain to store contacts, delegations, and identities.INDEX TERMS Edge computing, infectious diseases, COVID-19, blockchain, pandemic contact tracing

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“…Overall, additional linked intelligence within a telecommunication network characterized by ML/AI technologies alongside advanced networking constitutes the main driver in sixth generation vision. Nevertheless, the alliance involving 6G and AI may also act as a doubleedged sword in numerous scenarios while seeking for infringing or protecting privacy and security [13].…”

Section: Figure 1: Wireless Security Landscapes' Evolution From 4g To 6gmentioning

confidence: 99%

“…Centralized cloud computing has become complex to fulfill several quality-of-service (QoS) demands of different applications due to the drastic rise in the quantity of IIoT/IoT devices [12]. The introduction of edge computing is intended to enhance proximity between computation tasks and computational capability, and in turn preserve bandwidth resources and decrease network latency [13].…”

Section: B Edge Computingmentioning

confidence: 99%

Edge Computing and Its Convergence with Blockchain in 6G: Security Challenges

Mathew¹

2021

IJCSMC

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Even though the wireless network of 5G has not been investigated exhaustively, the sixth generation (6G) echo systems’ visionaries are already being debated. Therefore, to solidify and consolidate privacy and security within 6G networks, this paper examines edge computing and its convergence with blockchain in 6G: security challenges. Moreover, the paper examines how security might affect the wireless systems of the 6G, potential obstacles characterizing various 6G technologies, alongside possible remedies. This paper unveils the 6G security vision alongside key indicators of performance with tentative landscape threat premised upon predicted sixth generation infrastructure. Furthermore, a discussion of the privacy and security challenges that might emerge from the existing sixth generation applications and demands is presented. Additionally, the paper sheds light into the research-level projects and standardization efforts. Specific attention is accorded to discussion on the security consideration with 6G enhancing technologies, including quantum computing, visible light communication (VLC), distributed ML/AI, physical layer security, and distributed ledger technology (DLT). Overall, this paper seeks to guide the subsequent investigation of sixth generation privacy and security in the early stage of envisioning to practicality.

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Edge Computing and Its Convergence With Blockchain in 5G and Beyond: Security, Challenges, and Opportunities

Cited by 43 publications

References 158 publications

A Survey of Security in Cloud, Edge, and Fog Computing

A Survey of Security in Cloud, Edge, and Fog Computing

Privacy Preservation of User Identity in Contact Tracing for COVID-19-Like Pandemics Using Edge Computing

Edge Computing and Its Convergence with Blockchain in 6G: Security Challenges

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Edge Computing and Its Convergence With Blockchain in 5G and Beyond: Security, Challenges, and Opportunities

Cited by 43 publications

References 158 publications

A Survey of Security in Cloud, Edge, and Fog Computing

A Survey of Security in Cloud, Edge, and Fog Computing

Privacy Preservation of User Identity in Contact Tracing for COVID-19-Like Pandemics Using Edge Computing

Edge Computing and Its Convergence with Blockchain in 6G: Security Challenges﻿

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Edge Computing and Its Convergence with Blockchain in 6G: Security Challenges