TARU PUBLICATIONS
Journal of Discrete Mathematical Sciences and Cryptography cover
Open Access ·Peer-reviewed·ISSN (Online): 2169-0065·ISSN (Print): 0972-0529

Monthly Journal: Publishes theoretical and applied research in all areas of Discrete Mathematical Sciences, Cryptography, Combinatorics, Elliptic Curves and Information Security.

Issues up to 2022 co-published with and available at:Taylor & Francis Online
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Open Access Research Article

A mathematical model for secure Cloud-IoT communication: Introducing the revolutionary lightweight key mechanism

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* Corresponding author · click or hover a name for details

pp. 1341–1354Vol. 26Issue 5August 2023DOI: 10.47974/JDMSC-1750 Crossmark XML
Published Online:
09 Sep 2023
Article type:
Research Article
Language:
EN
Article no.:
JDMSC-1750
Pages:
1341–1354

Abstract

Internet of Things (IoT) is a new technology in telecommunications that focuses on wireless, remote communication. It involves connecting various smart devices to build a network that can transfer data through the cloud. In this type of environment, challenges such as device life span of battery, space needed for storage, consumption of power, and data security for cloud IoT have been identified. This work presents the design and implementation of a secure lightweight key establishment system for the integration of IoT Cloud. A Symmetric Lightweight Algorithm is utilized to enhance the security of Cloud IoT. To improve the efficiency of key setup time, the Advanced Encryption Standard (AES) is applied. The use of AES algorithm in combination with Cloud and IoT Security ensures efficient and consistent performance across software and hardware platforms in various environments. This integration allows for the connection of various smart devices and sensors to Cloud IoT services, facilitating the sharing of sensor readings while addressing security concerns. Before any data is transferred, we securely authenticate both the cloud server and IoT device and generate unique session keys for each new communication session. We conclude by discussing about how cloud computing helps IoT technology achieve secure connection by overcoming various security challenges.

Keywords

Subject Classifications

94A60 Cryptography

References

[1] S. Singh, “Advanced lightweight encryption algorithms for IoT devices : survey , challenges and solutions,” J. Ambient Intell. Humaniz. Comput., vol. 0, no. 0, p. 0 (2017).
[2] A. K. Nain, J. Bandaru, M. A. Zubair, and R. Pachamuthu, “A Secure Phase-Encrypted IEEE 802 . 15 . 4 Transceiver Design,” vol. 66, no. 8, pp. 1421–1427 (2017).
[3] M. Mangia, F. Pareschi, and R. Rovatti, “Low-Cost Security of IoT Sensor Nodes With Rakeness-Based Compressed Sensing : Statistical and Known-Plaintext Attacks,” vol. 13, no. 2, pp. 327-340 (2018).
[4] Z. Mahmood, H. Ning, and A. U. Ghafoor, “A polynomial subset-based efficient multi-party key management system for lightweight device networks,” Sensors (Switzerland), vol. 17, no. 4 (2017).
[5] Surendran, S., Nassef, A., & Beheshti, B. D. A survey of cryptographic algorithms for IoT devices. 2018 IEEE Long Island Systems, Applications and Technology Conferenc (LISAT) (2018). https://doi.org/10.1109/lisat.2018.8378034.
[6] K N Pallavi, V Ravi Kumar, & S Srikrishna. Comparative Study of Various Lightweight Cryptographic Algorithms for Data Security Between IoT and Cloud. 2020 5th International Conference on Communication and Electronics Systems (ICCES) (2020).
[7] Singh, S., Sharma, P. K., Moon, S. Y., & Park, J. H., Advanced lightweight encryption algorithms for IoT devices: Survey, challenges and solutions. Journal of Ambient Intelligence and Humanized Computing. (2017) https://doi.org/10.1007/s12652-017-0494-4.
[8] Panahi, P., Bayılmış, C., Çavuşoğlu, U., & Kaçar, S., Performance evaluation of lightweight encryption algorithms for IoT-based applications. Arabian Journal for Science and Engineering, 46(4), 4015-4037 (2021). https://doi.org/10.1007/s13369-021-05358-4.
[9] Singh, J., Pasquier, T., Bacon, J., Ko, H., & Eyers, D., Twenty security considerations for cloud-supported Internet of things. IEEE Internet of Things Journal, 3(3), 269-284 (2016). https://doi.org/10.1109/jiot.2015.2460333.
[10] Dang, L. M., Piran, M. J., Han, D., Min, K., & Moon, H., A survey on Internet of things and cloud computing for healthcare. Electronics, 8(7), 768 (2019). https://doi.org/10.3390/electronics8070768.
[11] Dilip Kumar Sharma, Neeraj Baghel, & Siddhant Agarwal. (n.d.). Multiple Degree Authentication in Sensible Homes based on IoT Device Vulnerability. 2020 International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC).
[12] Valmiki Siddhartha, Gurjot Singh Gaba, & Lavish Kansal. A Lightweight Authentication Protocol using Implicit Certificates for Securing IoT Systems [Paper presentation]. International Conference on Computational Intelligence and Data Science (2020, April). 
[13] Hittu Garg, Nit Kurukshetra, & Mayank Dave. (n.d.). Securing IoT Devices and Securely Connecting the Dots Using REST API and Middleware. 2019 4th International Conference on Internet of Things: Smart Innovation and Usages (IoT-SIU).
[14] Khan, M. A., & Salah, K., Cloud adoption for E-lEarning: Survey and future challenges. Education and Information Technologies, 25(2), 1417-1438 (2019). https://doi.org/10.1007/s10639-019-10021-5.
[15] Hahn, D., Munir, A., & Behzadan, V., Security and privacy issues in intelligent transportation systems: Classification and challenges. IEEE Intelligent Transportation Systems Magazine, 13(1), 181-196 (2021). https://doi.org/10.1109/mits.2019.2898973.
[16] Hategekimana, Festus & Whitaker, Taylor & Pantho, Md & Bobda, Christophe. IoT Device Security Through Dynamic Hardware Isolation With Cloud-Based Update. Journal of Systems Architecture. (2020). 109. 101827. 10.1016/j.sysarc.2020.101827.
[17] Jun Zhou, Zhenfu Cao, Xiaolei Dong, and Athanasios V. Vasilakos. 2017. Security and Privacy for Cloud-Based IoT: Challenges. Comm. Mag. 55, 1, 26-33 (January 2017). DOI:https://doi.org/10.1109/MCOM.2017.1600363CM.
[18] Gudapati, S.P., Gaikwad, V., Light-Weight key establishment mechanism for secure communication between IoT devices and cloud. In Intelligent System Design (pp. 549–563). Springer, Singapore (2021).
[19] G. S. Prasad and V. S. Gaikwad, (2018) “A survey on user awareness of cloud security”, Int. J. of Engineering and Technology, vol. 7, no. 2.32, pp. 131-135 (May 2018).
[20] Y. Li, “Design of a key establishment protocol for smart home energy management system,” in Proc. 5th Int. Conf. Comput. Intell., Commun. Syst. Netw. (CICSyN), pp. 88-93 (Jun. 2013).
[21] B. Vaidya, D. Makrakis, and H. T. Mouftah, “Device authentication mechanism for smart energy home area networks,” in Proc. IEEE Int. Conf. Consum. Electron. (ICCE), pp. 787-788 (Jan. 2011).
[22] K. Han, J. Kim, T. Shon, and D. Ko, “A novel secure key paring protocol for RF4CE ubiquitous smart home systems,” Pers. Ubiquitous Comput., vol. 17, no. 5, pp. 945-949, (Jun. 2013).
[23] Jebri, S., Ben Amor, A., Abid, M. et al. Enhanced Lightweight Algorithm to Secure Data Transmission in IoT Systems. Wireless Pers Commun 116, 2321-2344 (2021). https://doi.org/10.1007/s11277-020-07792-3.
[24] J. Lee, K. Kapitanova, and S. H. Son, “The price of security in wireless sensor networks,” Comput. Netw., vol. 54, no. 17, pp. 2967-2978 (Dec. 2010).
[25] D. He, S. Chan, S. Tang, and M. Guizani, “Secure data discovery and dissemination based on hash tree for wireless sensor networks,” IEEE Trans. Wireless Commun., vol. 12, no. 9, pp. 4638-4646 (Sep. 2013).
[26] G. Ateniese, G. Bianchi, A. Capossele, and C. Petrioli, “Low-cost standard signatures in wireless sensor networks: A case for reviving pre-computation techniques?” in Proc. NDSS, San Diego, CA, USA, (Feb. 2013).
[27] D. P. Gadekar, N. P. Sable, A. H. Raut, “Exploring Data Security Scheme into Cloud Using Encryption Algorithms”, International Journal of Recent Technology and Engineering (IJRTE), Volume-8 Issue-2 (July 2019).
[28] Ashvini Jangam, Nilesh Sable, “Data Security Scheme:Share and Audit Our Data into Cloud using Encryption, “International Journal of Innovative Research in Science, Engineering and Technology, Vol 7, Issue 3 (2018).
[29] Disha Sushant Wankhede, R. Selvarani, Dynamic architecture based deep learning approach for glioblastoma brain tumor survival prediction, Neuroscience Informatics, Volume 2, Issue 4 (2022), 100062, ISSN 2772-5286, https://doi.org/10.1016/j.neuri.2022.100062. 
[30] Nilesh Sable, Shreejit Pillai, Gaurav Ransing, Navanath Ransing, Sumit Markad, “Survey on Privacy Preserving Multi Keyword Search in Cloud Computing”, International Journal of Advanced Research in Computer and Communication Engineering, vol 5, Issue 11 (2016).

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