A Systematic Literature Review on the Role of Big Data in IoT Security
Main Article Content
Keywords
IoT, Big data, Security, Big data sources, Big data techniques
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.
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References
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Harb, H., Idrees, A. K., Jaber, A., Makhoul, A., Zahwe, O., & Taam, M. A. (2017). Wireless Sensor Networks: A Big Data Source in Internet of Things. International Journal of Sensors Wireless Communications and Control, 7(2), 93–109. https://doi.org/10.2174/2210327907666170906144926
Hassan, M. (2022). State of IoT 2022: Number of connected IoT devices growing 18% to 14.4 billion globally. IoT Analytics Market Insights for the Internet of Things.
Hossain, E., Khan, I., Un-Noor, F., Sikander, S. S., & Sunny, M. S. H. (2019). Application of big data and machine learning in smart grid, and associated security concerns: A review. IEEE Access, 7, 13960–13988. https://doi.org/10.1109/ACCESS.2019.2894819
Islam, R, Hossen, M. S., & Shin, D. (2022). A Mapping Study on Privacy Attacks in Big Data and IoT. 2022 13th International Conference on Information and Communication Technology Convergence. (pp. 1158–1163) Jeju Island, Korea: IEEE. https://doi.org/10.1109/ICTC55196.2022.9952824
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Kalid, S., Syed, A., Mohammad, A., & Halgamuge, M. N. (2017). Big-data NoSQL databases: A comparison and analysis of “Big-Table”, “DynamoDB”, and “Cassandra”. 2017 IEEE 2nd International Conference on Big Data Analysis (ICBDA). (pp. 89-93), Beijing, China: IEEE. https://doi.org/10.1109/ICBDA.2017.8078782
Karimi, Y., Haghi Kashani, M., Akbari, M., & Mahdipour, E. (2021). Leveraging Big Data in Smart Cities: A Systematic Review. Concurrency and Computation: Practice and Experience, 33(21), e6379. https://doi.org/10.1002/cpe.6379
Khare, S., & Totaro, M. (2020). Ensemble Learning for Detecting Attacks and Anomalies in IoT Smart Home. 2020 3rd International Conference on Data Intelligence and Security (ICDIS). South Padre Island: IEEE. https://doi.org/10.1109/ICDIS50059.2020.00014
Kitchenham, B., Brereton, O. P., Budgen, D., Turner, M., Bailey, J., & Linkman, S. (2009). Systematic literature reviews in software engineering – A systematic literature review. Information and Software Technology, 51(1), 7–15. https://doi.org/10.1016/j.infsof.2008.09.009
Kumar, A. V., Chitumadugula, S., & Rayalacheruvu, V. T. (2022). Crime Data Analysis using Big Data Analytics and Visualization using Tableau. 2022 6th International Conference on Electronics, Communication and Aerospace Technology (pp. 627–632). Coimbatore, India: IEEE. https://doi.org/10.1109/ICECA55336.2022.10009119
Lavanya, P., Subbareddy, I. V., & Selvakumar, V. (2022). Internet of Things enabled Block Level Security Mechanism to Big Data Environment using Cipher Security Policies. 2022 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI) (pp. 1–6). Chennai, India: IEEE. https://doi.org/10.1109/ACCAI53970.2022.9752603
Li, Y., & Zhang, D. (2020). Hadoop-Based University Ideological and Political Big Data Platform Design and Behavior Pattern Mining. 2020 International Conference on Advance in Ambient Computing and Intelligence (ICAACI). Ottawa, ON, Canada, pp. 47–51. https://doi.org/10.1109/ICAACI50733.2020.00014
Li, F., Xie, R., Wang, Z., Guo, L., Ye, J., Ma, P., & Song, W. (2020). Online Distributed IoT Security Monitoring With Multidimensional Streaming Big Data. IEEE Internet of Things Journal, 7(5), 4387–4394. https://doi.org/10.1109/JIOT.2019.2962788
Li, Y., Ma, J., An, B., & Cao, D. (2018). BDViewer — A Web-Based Big Data Processing and Visualization Tool. 2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC). Tokyo, Japan: IEEE. https://doi.org/10.1109/COMPSAC.2018.00080
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Mar 27, 2024
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Muhammad, M., Bazai, S. U., Ullah, S., Shah, S. A. A., Aslam, S., Amphawan, A., & Neo, T.-K. (2024). A Systematic Literature Review on the Role of Big Data in IoT Security. Journal of Telecommunications and the Digital Economy, 12(1), 39–64. https://doi.org/10.18080/jtde.v12n1.783
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Author Biographies
Muna Muhammad, Department of Computer Science, Balochistan University of Information, Technology, Engineering and Management Sciences
Department of Computer Science, Balochistan University of Information, Technology, Engineering and Management Sciences, Pakistan
Sibghat Ullah Bazai, Department of Computer Engineering, Balochistan University of Information, Technology, Engineering and Management Sciences
Department of Computer Engineering, Balochistan University of Information, Technology, Engineering and Management Sciences, Pakistan
Shafi Ullah, Department of Computer Engineering, Balochistan University of Information, Technology, Engineering and Management Sciences
Department of Computer Engineering, Balochistan University of Information, Technology, Engineering and Management Sciences, Pakistan
Syed Ali Asghar Shah, Department of Computer Engineering, Balochistan University of Information, Technology, Engineering and Management Sciences
Department of Computer Engineering, Balochistan University of Information, Technology, Engineering and Management Sciences, Pakistan
Saad Aslam, Smart Photonics Research Laboratory, School of Engineering and Technology, Sunway University
Smart Photonics Research Laboratory, School of Engineering and Technology, Sunway University, 47500 Petaling Jaya, Malaysia
Angela Amphawan, Smart Photonics Research Laboratory, School of Engineering and Technology, Sunway University
Smart Photonics Research Laboratory, School of Engineering and Technology, Sunway University, 47500 Petaling Jaya, Malaysia
Tse-Kian Neo, Multimedia University
CAMELOT, Faculty of Creative Multimedia, Multimedia University, Cyberjaya 63100 Selangor, Malaysia (tkneo@mmu.edu.my) *Corresponding author
