Citation

Muhammad, Muna and Bazai, Sibghat Ullah and Ullah, Shafi and Shah, Syed Ali Asghar and Aslam, Saad and Amphawan, Angela and Neo, Tse Kian (2024) Systematic Literature Review on the Role of Big Data in IoT Security. Journal of Telecommunications and the Digital Economy, 12 (1). pp. 39-64. ISSN 2203-1693

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Abstract

The Internet of Things (IoT) is an interconnected system of physical objects that are embedded with different sensors (for receiving information), chips, software, and other techniques, which allow connecting and transferring of data to other devices via the Internet without human involvement. Since the number of IoT devices is increasing, large amounts of data are being generated from different sources in different formats. This information needs to be used effectively to gain useful insights for enhancing IoT security. Hence, big data techniques are proposed for managing the data to overcome different issues of IoT. Despite the outstanding achievements in IoT security, a systematic literature review (SLR) on implementing big data for securing IoT is lacking. The number of existing related SLRs is limited. Hence, this paper provides a systematic literature review on the use of big data for securing IoT devices. It summarizes the relevant literature produced during the last six years and provides meaningful insights gained by these existing studies. Moreover, it provides a discussion on the sources of IoT big data, the techniques and approaches of big data for securing IoT systems. Current challenges and future research directions are discussed.

Item Type:	Article
Uncontrolled Keywords:	IoT, Big data, Security, Big data sources, Big data techniques
Subjects:	Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Divisions:	Faculty of Creative Multimedia (FCM)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	02 May 2024 04:32
Last Modified:	02 May 2024 04:32
URII:	http://shdl.mmu.edu.my/id/eprint/12399

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