Securing the Internet of Things: Challenges and Solutions in the Era of IIoT

Year : 2024 | Volume :11 | Issue : 02 | Page : –
By

Shrikaant Kulkarni,

  1. Adjunct Professor Department of Business Studies, Victorian Institute of Technology, Australia Sydney Australia

Abstract

The manufacturing, healthcare, and transportation sectors have undergone revolutionary changes due to the swift growth of the Internet of Things (IoT) and its industrial cousin, the Industrial Internet of Things (IoT). However, this technological advancement comes with significant security challenges. The heterogeneity of devices, ranging from simple sensors to complex machinery, creates a diverse attack surface. Additionally, many IoT devices lack robust security features, often due to cost constraints or legacy system integration, making them vulnerable to cyberattacks. The sheer volume of interconnected devices exacerbates the difficulty of ensuring comprehensive security coverage, leading to potential vulnerabilities in the network. Key challenges include the management of device identities and authentication, ensuring data integrity and confidentiality, and the implementation of scalable security measures across large networks. The lack of standardized protocols further complicates the development of universal security solutions, while the limited computational resources of many IoT devices restrict the use of traditional encryption and security mechanisms. Additionally, the convergence of IT and OT (Operational Technology) systems introduces new risks, as vulnerabilities in one domain can be exploited to impact the other.

Keywords: IoT security, IIoT, device authentication, data integrity, threat detection, lightweight protocols, IT-OT convergence, end-to-end encryption, industry standards.

[This article belongs to Journal of Telecommunication, Switching Systems and Networks(jotssn)]

How to cite this article: Shrikaant Kulkarni. Securing the Internet of Things: Challenges and Solutions in the Era of IIoT. Journal of Telecommunication, Switching Systems and Networks. 2024; 11(02):-.
How to cite this URL: Shrikaant Kulkarni. Securing the Internet of Things: Challenges and Solutions in the Era of IIoT. Journal of Telecommunication, Switching Systems and Networks. 2024; 11(02):-. Available from: https://journals.stmjournals.com/jotssn/article=2024/view=157112

References

  1. Sicari, S., Rizzardi, A., Grieco, L. A., & Coen-Porisini, A. (2015). Security, privacy, and trust in Internet of Things: The road ahead. Computer Networks, 76, 146-164.
  2. Hummen, R., Shafagh, H., Raza, S., Weippl, E., & Kirchner, F. (2013). A Cloud Design for User-controlled Storage and Processing of IoT Data. 2013 IEEE International Conference on Communications (ICC).
  3. Roman, R., Zhou, J., & Lopez, J. (2011). On the features and challenges of security and privacy in distributed internet of things. Computer Networks, 57(10), 2266-2279.4.
  4. William, G. Sharma, K. Kapil, P. Srivastava, A. Shrivastava and R. Kumar, “Automation Techniques Using AI Based Cloud Computing and Blockchain for Business Management,” 2023 4th International Conference on Computation, Automation and Knowledge Management (ICCAKM), Dubai, United Arab Emirates, 2023, pp. 1-6, doi: 10.1109/ICCAKM58659.2023.10449534.5.
  5. Rodrigues TK, Suto K, Kato N. Edge cloud server deployment with transmission power control through machine learning for 6G Internet of Things. IEEE Transactions on Emerging Topics in Computing. 2019 Dec 31;9(4):2099-108.6.
  6. Yadav R, Sreedevi I, Gupta D. Bio-inspired hybrid optimization algorithms for energy efficient wireless sensor networks: a comprehensive review. Electronics. 2022 May 12;11(10):1545.7.
  7. Rawat, Romil, Shrikant Telang, P. William, Upinder Kaur, and Om Kumar CU, eds. Dark Web Pattern Recognition and Crime Analysis Using Machine Intelligence. IGI Global, 2022.8.
  8. Yogeesh, P. William, Sensor-enabled biomedical decision support system using deep learning and fuzzy logic, In Advances in Ubiquitous Sensing Applications for Healthcare, Deep Learning Applications in Translational Bioinformatics, Academic Press, Volume 15, 2024, Pages 33-53, ISSN 15, ISBN 9780443222993, https://doi.org/10.1016/B978-0-443-22299-3.00003-7.9.
  9. William, P., Rageeb, M., Boina, M.R., Lakshmi, T.R.V., Sharma, A., Marriwala, N.K. (2024). Empirical Analysis of Machine Learning in Enhancing the E-Business Through Structural Equation Modeling. In: Marriwala, N.K., Dhingra, S., Jain, S., Kumar, D. (eds) Mobile Radio Communications and 5G Networks. MRCN 2023. Lecture Notes in Networks and Systems, vol 915. Springer, Singapore. https://doi.org/10.1007/978-981-97-0700-3_4510.
  10. William, P., Chinthamu, N., Saxena, A., Lakshmi, T.R.V., Tiwari, M. (2024). Integration of Secure Data Communication with Wireless Sensor Network Using Cryptographic Technique. In: Marriwala, N.K., Dhingra, S., Jain, S., Kumar, D. (eds) Mobile Radio Communications and 5G Networks. MRCN 2023. Lecture Notes in Networks and Systems, vol 915. Springer, Singapore. https://doi.org/10.1007/978-981-97-0700-3_4611.
  11. Chhabra, G.S., William, P., Lanke, G.R., Jain, K., Lakshmi, T.R.V., Varshney, N. (2024). Comparative Analysis of Data Mining Based Performance Evaluation Using Hybrid Deep Learning Approach. In: Marriwala, N.K., Dhingra, S., Jain, S., Kumar, D. (eds) Mobile Radio Communications and 5G Networks. MRCN 2023. Lecture Notes in Networks and Systems, vol 915. Springer, Singapore. https://doi.org/10.1007/978-981-97-0700-3_4712.
  12. Khatkale, P.B., William, P., Oyebode, O.J., Sharma, A., Kumari, V., Singh, V. (2024). Probing of Instructional Data Mining Effectiveness in Decision-Making for Industrial and Educational Applications. In: Marriwala, N.K., Dhingra, S., Jain, S., Kumar, D. (eds) Mobile Radio Communications and 5G Networks. MRCN 2023. Lecture Notes in Networks and Systems, vol 915. Springer, Singapore. https://doi.org/10.1007/978-981-97-0700-3_4813.
  13. William, P., Chinthamu, N., Chiranjivi, M., Vijaya Lakshmi, T.R., Kumar, R., Marriwala, N.K. (2024). Assessment of Wireless Sensor Networks Integrated with Various Cluster-Based Routing Protocols. In: Marriwala, N.K., Dhingra, S., Jain, S., Kumar, D. (eds) Mobile Radio Communications and 5G Networks. MRCN 2023. Lecture Notes in Networks and Systems, vol 915. Springer, Singapore. https://doi.org/10.1007/978-981-97-0700-3_4914.
  14. Zhou, W., Zhang, Y., Liu, P., & Mumba, D. (2011). The effect of IoT New Features on Security and Privacy: New Threats, Existing Solutions, and Challenges Yet to Be Solved. 2011 IEEE International Conference on Internet of Things (iThings).15.15.
  15. Mahmoud C, Aouag S. Security for internet of things: A state of the art on existing protocols and open research issues. InProceedings of the 9th international conference on information systems and technologies 2019 Mar 24 (pp. 1-6).16.16.
  16. Knowles, W., Prince, D., Hutchison, D., Disso, J. F. P., & Jones, K. (2015). A survey of cyber security management in industrial control systems. International Journal of Critical Infrastructure Protection, 9, 52-80.17.17.
  17. Zhang, Y., & Wen, J. (2014). The IoT electric business model: Using blockchain technology for the internet of things. Peer-to-Peer Networking and Applications, 7(4), 352-368.18.18.
  18. Fernandes, D. A. B., Soares, L. F. B., Gomes, J. V., Freire, M. M., & Inácio, P. R. M. (2014). Security issues in cloud environments: A survey. International Journal of Information Security, 13(2), 113-170.19.19.
  19. Lee, I., & Lee, K. (2015). The Internet of Things (IoT): Applications, investments, and challenges for enterprises. Business Horizons, 58(4), 431-440.20.20.
  20. Whitmore, A., Agarwal, A., & Da Xu, L. (2015). The Internet of Things—A survey of topics and trends. Information Systems Frontiers, 17(2), 261-274.
Regular Issue Subscription Original Research
Volume 11
Issue 02
Received June 20, 2024
Accepted July 2, 2024
Published July 18, 2024
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