Edge computing enabled technologies for secure 6G smart environment: An overview

Syed Usman Jamil, M. Arif Khan, Sabih ur Rehman

Research output: Book chapter/Published conference paperConference paperpeer-review

Abstract

In this article, we present a theoretical framework for a secure smart architecture based on futuristic edge resource allocation with a key focus on the task off-loading and intelligent enabling technologies. This article aims to highlight the growing need of embedded off-loading standards in the context of the Internet of Everything (IoE), fog, and cloud paradigms enabled technologies in the overall design framework of smart architecture. Efficient task off-loading strategies perform a vital role in mobility, heterogeneity, data and energy management, load balancing, establishing security mechanisms, reducing the propagation delay and information processing. The motive behind presenting such an embedded intelligent and secure architecture is to address the growing concerns of upcoming smart networks and its sub-network based on different futuristic scenarios, applications and devices. Furthermore, we discuss the off-loading criteria and enabling technologies, in view of the new advancement and critical requirements with rising demands of up-coming intelligence-based secure off-loading frameworks, in order to meet the requirements of the secure smart environment. Finally, through our discussion, we develop the specific research questions and explain its motivations in order to design and evaluate the off-loading criteria and its associated enabling technologies to accommodate the secure technological advancements and resource allocation in the sixth generation (6G) wireless communication era.

Original languageEnglish
Title of host publicationProceedings of the 12th International Conference on Soft Computing and Pattern Recognition, SoCPaR 2020
EditorsAjith Abraham, Yukio Ohsawa, Niketa Gandhi, M. A. Jabbar, Abdelkrim Haqiq, Seán McLoone, Biju Issac
PublisherSpringer Science and Business Media Deutschland GmbH
Pages934-945
Number of pages12
Volume1383
ISBN (Electronic)9783030736897
ISBN (Print)9783030736880
DOIs
Publication statusE-pub ahead of print - 16 Apr 2021
Event12th International Conference on Soft Computing and Pattern Recognition, SoCPaR 2020 and 16th International Conference on Information Assurance and Security, IAS 2020 - Virtual
Duration: 15 Dec 202018 Dec 2020
https://link-springer-com.ezproxy.csu.edu.au/book/10.1007/978-3-030-73689-7#about (Proceedings)
https://link-springer-com.ezproxy.csu.edu.au/content/pdf/bfm%3A978-3-030-73689-7%2F1.pdf (Proceedings front matter)
http://www.mirlabs.org/socpar20/ (Conference website)

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1383 AISC
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference12th International Conference on Soft Computing and Pattern Recognition, SoCPaR 2020 and 16th International Conference on Information Assurance and Security, IAS 2020
Abbreviated titleInnovating and Inspiring Soft Computing and Intelligent Pattern Recognition
Period15/12/2018/12/20
OtherA premier conference in the field of artificial intelligence, SoCPaR-IAS 2020 brought together researchers, engineers and practitioners whose work involves intelligent systems, network security and their applications in industry. Including contributions by authors from 40 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of Computer Science and Engineering.
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