Next-Generation Technologies for Secure Future Communication-based Social-Media 3.0 and Smart Environment

Archana Kurde; Sushil Kumar Singh

doi:10.62762/TSCC.2024.322898

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Volume 1, Issue 2, IECE Transactions on Sensing, Communication, and Control

Volume 1, Issue 2, 2024

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Ibrar Hussain

University of Lahore, Pakistan

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IECE Transactions on Sensing, Communication, and Control, 2024, Volume 1, Issue 2: 101-125

Free to Read | Review Article | 27 November 2024

Next-Generation Technologies for Secure Future Communication-based Social-Media 3.0 and Smart Environment

Archana Kurde 1

Sushil Kumar Singh 1 *

1 Department of Computer Engineering, Marwadi University, Rajkot, India

* Corresponding Author: Sushil Kumar Singh, [email protected]

DOI: https://doi.org/10.62762/TSCC.2024.322898

Received: 12 October 2024, Accepted: 06 November 2024, Published: 27 November 2024

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Abstract

Smart Environment is rapidly growing with the inclusion of Artificial Intelligence of Things (AIoT) when it connects to future communication and social media networks. Security and privacy are significant challenges, including data integrity, account hijacking, cybersecurity, and cyberbullying. To mitigate these challenges, Social Media 3.0 is utilized with advanced emerging technologies such as Blockchain, Federated Learning (FL), and others and offers solutions in existing research. This article comprehensively reviews and proposes Next-Generation Technologies for Secure Future Communication Service Scenario for Smart Environment and Social-Media 3.0. We discuss existing attacks with their classification that can threaten the personal information of a Future Communication-based Smart Environment, then offer countermeasure solutions. FL with AIoT is discussed to preserve the privacy and security of smart environment applications with live projects under the implementation of the Dubai Blockchain Strategy, ADEPT, and many more. Blockchain is utilized at the proposed service scenario's edge, fog, and cloud intelligent layers for secure future communication; FL trains local models that aggregate to form global models trained over diverse Smart Environments. Finally, several challenges and open issues of integrating emerging technologies for Smart Environment and Social-Media 3.0 applications and future directions are discussed in the last section.

Graphical Abstract

Next-Generation Technologies for Secure Future Communication-based Social-Media 3.0 and Smart Environment

Keywords

smart environment (SE)

blockchain, federated Learning (FL)

social media, internet of things (IoT)

Funding

This research was supported by the Research Seed Grant funded by the Marwadi University, Rajkot, Gujarat (MU/R\&D/22- 23/MRP/FT13).

Cite This Article

APA Style

Kurde, A., & Singh, S. K. (2024). Next-Generation Technologies for Secure Future Communication-based Social-Media 3.0 and Smart Environment. IECE Transactions on Sensing, Communication, and Control, 1(2), 101–125. https://doi.org/10.62762/TSCC.2024.322898

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