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

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.

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Publication Details

Journal
ICCK Transactions on Sensing Communication and Control
Published
2024-11-27
DOI
https://doi.org/10.62762/tscc.2024.322898
Citations
2
Primary Topic
Privacy-Preserving Technologies in Data
Type
article
Field-Weighted Citation Impact
0.69
Controls
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article

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

Sushil Kumar Singh, Archana Kurde
2 citations
ICCK Transactions on Sensing Communication and Control
Privacy-Preserving Technologies in Data
0.69
article

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

Sushil Kumar Singh, Archana Kurde
article en
2 citations

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.

ICCK Transactions on Sensing Communication and ControlVol. 1(2)
Marwadi University (IN)
Reduced inequalities
Openalex Percentile: Top 23%
Privacy-Preserving Technologies in Data
0.69
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