Enhancing Cloud-Based IoT Security: Integrating AI and Cyber security Measures
Article Sidebar
Main Article Content
Abstract
The integration of the Internet of Things (IoT) with cloud computing (CC) in industries offers better data management, analysis, and decision-making, as well as improved accessibility, cost reduction, and increased performance. However, the security of cloud-based systems is a significant concern due to the inadequacy of traditional security solutions. To address this, cloud-based IoT architecture, services, configurations, and security models are necessary. Artificial Intelligence (AI) and cyber security measures are integrated with CC and IoT to enhance system security and reliability, enabling swift threat detection and response, thus increasing efficiency. This paper provides a comprehensive survey of cloud-based IoT architecture, services, configurations, and security models, examining the latest advances in cloud-based IoT attacks and significant security issues in each category. It also identifies technological challenges and research gaps to improve cloud cyber security. Furthermore, the paper explores how AI and CC can collaborate with IoT to enhance the security and efficiency of cloud-based systems. Efficient algorithms such as load balancing and predictive analytics algorithms can help make cloud-based systems more efficient. Load balancing algorithms distribute workloads across various servers, ensuring smooth system performance. Predictive analytics algorithms analyse data patterns, identifying potential issues before they occur, saving time and resources. Integrating AI, cyber security measures, and efficient algorithms can make cloud-based IoT systems more reliable and secure for industrial use.
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
IJCERT Policy:
The published work presented in this paper is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. This means that the content of this paper can be shared, copied, and redistributed in any medium or format, as long as the original author is properly attributed. Additionally, any derivative works based on this paper must also be licensed under the same terms. This licensing agreement allows for broad dissemination and use of the work while maintaining the author's rights and recognition.
By submitting this paper to IJCERT, the author(s) agree to these licensing terms and confirm that the work is original and does not infringe on any third-party copyright or intellectual property rights.
References
B. Thuraisingham, "Cyber Security and Artificial Intelligence for Cloud-based Internet of Transportation Systems," 2020 7th IEEE International Conference on Cyber Security and Cloud Computing (CSCloud)/2020 6th IEEE International Conference on Edge Computing and Scalable Cloud (EdgeCom), New York, NY, USA, 2020, pp. 8-10, doi: 10.1109/CSCloud-EdgeCom49738.2020.00011.
Ahmad, W.; Rasool, A.; Javed, A.R.; Baker, T.; Jalil, Z. Cyber Security in IoT-Based Cloud Computing: A Comprehensive Survey. Electronics 2022, 11, 16. https://doi.org/10.3390/electronics11010016.
N. Kashyap, A. Rana, V. Kansal and H. Walia, "Improve Cloud Based IoT Architecture Layer Security - A Literature Review," 2021 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS), Greater Noida, India, 2021, pp. 772-777, doi: 10.1109/ICCCIS51004.2021.9397146.
L. Xiao, X. Wan, X. Lu, Y. Zhang and D. Wu, "IoT Security Techniques Based on Machine Learning: How Do IoT Devices Use AI to Enhance Security?," in IEEE Signal Processing Magazine, vol. 35, no. 5, pp. 41-49, Sept. 2018, doi: 10.1109/MSP.2018.2825478.
Alam, T. Cloud-Based IoT Applications and Their Roles in Smart Cities. Smart Cities 2021, 4, 1196-1219. https://doi.org/10.3390/smartcities4030064.
Khanam, S., Tanweer, S., & Khalid, S. S. (2022). Future of Internet of Things: Enhancing Cloud-Based IoT Using Artificial Intelligence. International Journal of Cloud Applications and Computing (IJCAC), 12(1), 1-23. http://doi.org/10.4018/IJCAC.297094.
Shuchi Juyal, Sachin Sharma, Amal Shankar Shukla,Smart skin health monitoring using AI-enabled cloud-based IoT, Materials Today: Proceedings, Volume 46, Part 20, 2021, Pages 10539-10545, ISSN 2214-7853, https://doi.org/10.1016/j.matpr.2021.01.074.
Alkali, Yusuf and Routray, Indira and Whig, Pawan, Study of various methods for reliable, efficient and Secured IoT using Artificial Intelligence (January 28, 2022). Proceedings of the International Conference on Innovative Computing & Communication (ICICC) 2022, Available at SSRN: https://ssrn.com/abstract=4020364 or http://dx.doi.org/10.2139/ssrn.4020364.
M. A. Omer, A. A. Yazdeen, H. S. Malallah, and L. M. Abdulrahman, “A Survey on Cloud Security: Concepts, Types, Limitations, and Challenges”, JASTT, vol. 3, no. 02, pp. 47-57, Dec. 2022.
Kollu, V.N.; Janarthanan, V.; Karupusamy, M.; Ramachandran, M. Cloud-Based Smart Contract Analysis in FinTech Using IoT-Integrated Federated Learning in Intrusion Detection. Data 2023, 8, 83. https://doi.org/10.3390/data8050083.
Molokomme, D.N.; Onumanyi, A.J.; Abu-Mahfouz, A.M. Edge Intelligence in Smart Grids: A Survey on Architectures, Offloading Models, Cyber Security Measures, and Challenges. J. Sens. Actuator Netw. 2022, 11, 47. https://doi.org/10.3390/jsan11030047.
Butpheng, C.; Yeh, K.-H.; Xiong, H. Security and Privacy in IoT-Cloud-Based e-Health Systems—A Comprehensive Review. Symmetry 2020, 12, 1191. https://doi.org/10.3390/sym12071191.
A. I. Swapna, Z. Rahman, M. H. Rahman and M. Akramuzzaman, "Performance evaluation of fuzzy integrated firewall model for hybrid cloud based on packet utilization," 2016 First IEEE International Conference on Computer Communication and the Internet (ICCCI), Wuhan, China, 2016, pp. 253-256, doi: 10.1109/CCI.2016.7778919.
Prabhat Kumar, Govind P. Gupta, Rakesh Tripathi, An ensemble learning and fog-cloud architecture-driven cyber-attack detection framework for IoMT networks, Computer Communications, Volume 166, 2021, Pages 110-124, ISSN 0140-3664,
https://doi.org/10.1016/j.comcom.2020.12.003.
Sobb, T.; Turnbull, B.; Moustafa, N. Supply Chain 4.0: A Survey of Cyber Security Challenges, Solutions and Future Directions. Electronics 2020, 9, 1864. https://doi.org/10.3390/electronics9111864.
Padmaja, M., Shitharth, S., Prasuna, K. et al. Grow of Artificial Intelligence to Challenge Security in IoT Application. Wireless Pers Commun 127, 1829–1845 (2022). https://doi.org/10.1007/s11277-021-08725-4.