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Fog computing in enabling 5G-driven emerging technologies for development of sustainable smart city infrastructures

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Abstract

The usage of 5G-enabled IoT devices is rising exponentially as humans tend to shift towards a more automated lifestyle. A significant amount of IoT devices is expected to join the network as IoT has allowed interconnection and transmission among global devices which has resulted in generation of enormous diverse data. There is a requirement for a real-time, latency-specific, and network efficient computing paradigm in 5G-enabled smart city infrastructure. Fog computing presents trustworthy solutions to tackle these issues by combining edge users. They store, control, communicate, configure, measure, and manage big data produced by IoT devices. In this survey, the authors have performed a comprehensive study on fog computing and have classified various such paradigms. The authors have performed an extensive evaluation of features, along with the algorithmic and architectural packages deployed in the framework. This survey covers various 5G-enabled Industrial IoT (I-IoT) application settings and unleashes various fog framework-based solutions for numerous real-world application challenges in sustainable smart city infrastructures. Numerous contributions of fog computing towards latency-sensitive applications like healthcare 4.0, smart conveyance, smart waste management, smart energy handling, etc. has also been discussed. Fog computing framework apart from the abilities, also inherits various security flaws from cloud computing paradigm, and these flaws needs to be rectified in the interest of the end user. This survey presents a comprehensive review of state-of-the-art literature schemes to preserve the integrity of data in sustainable smart city infrastructure. Diverse phrases employed for investigating numerous security and privacy concerns in 5G enabled technologies are discussed in a sophisticated approach.

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Data availability

The authors confirm that the data supporting the findings of this study are available within the article.

Code availability

Not Applicable.

Abbreviations

ACI:

Access control issues

AH:

Account hijacking

AHP:

Analytic hierarchy process

ANN:

Artificial neural networks

ANU:

Abuse and nefarious use

API:

Application programming interface

APT:

Advance persistent threats

BCI:

Brain-computer interaction

BD:

Big data

CBSRS:

Cold and hot backup service replacement strategy

CIA:

Confidentiality, integrity and availability

CPS:

Cyber-physical system

DB:

Data breaches

DHT:

Distributed hash table

DL:

Data loss

DoS:

Denial of service

ERGOT:

Efficient routing grounded on taxonomy

FC:

Fog computing

FN:

Fog node

HS-DRT:

High security distribution and rake technology

IA:

Insecure APIs

IaaS:

Infrastructure-as-a-service

IDD:

Insufficient due diligence

IoT:

Internet of things

IRR:

Incidence rate ratio

MI:

Malicious insider

MiTM:

Man-in-the-middle

PaaS:

Platform-as-a-service

PCS:

Parity cloud service technique

RAN:

Radio access network

SaaS:

Software-as-a-service

SAV:

System and application vulnerabilities

SSL:

Secure socket layer

STI:

Shared technology issues

UI:

User interface

VANET:

Vehicular Ad-hoc NETworks

VM:

Virtual machine

WPA:

Wi-Fi protected access

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Acknowledgements

This work is partially funded by FCT/MCTES through national funds and when applicable co-funded EU funds under the Project UIDB/50008/2020; and by Brazilian National Council for Scientific and Technological Development – CNPq, via Grant No. 313036/2020-9.

Funding

This work is partially funded by FCT/MCTES through national funds and when applicable co-funded EU funds under the Project UIDB/50008/2020; and by Brazilian National Council for Scientific and Technological Development—CNPq, via Grant No. 313036/2020-9.

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  1. Department of Computer Science and Information Systems, Birla Institute of Technology and Science Pilani, Pilani, Rajasthan, 333031, India

    Siddhant Jain, Shashank Gupta & K. K. Sreelakshmi

  2. Senac Faculty of Ceará, Fortaleza, CE, Brazil

    Joel J. P. C. Rodrigues

  3. Instituto de Telecomunicações, Covilhã, Portugal

    Joel J. P. C. Rodrigues

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Jain, S., Gupta, S., Sreelakshmi, K.K. et al. Fog computing in enabling 5G-driven emerging technologies for development of sustainable smart city infrastructures. Cluster Comput 25, 1111–1154 (2022). https://doi.org/10.1007/s10586-021-03496-w

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