Development a Software Defined Network (SDN) with Internet of Things (IoT) Security for Medical Issues
DOI:
https://doi.org/10.29304/jqcm.2023.15.3.1268Keywords:
IoT Internet of Things, software defined networking, Medical networks, network security, Healthcare systemsAbstract
Because providing billions of objects with network connectivity, the Internet of Things (IoT) enables the collection and transfer of real-time data for intelligent applications. Therefore, IoT enables remote access and control of connected devices when there is a sufficient network infrastructure. Additionally, the introduction of software-defined networking (SDN) presents capabilities that allow internet providers and users to control and connect network equipment wirelessly, even as enabling a global perspective on the network, that has previously become a soaring interest area due to its extensive use for various applications and systems, including wireless sensor nodes, medical equipment, delicate home sensor systems, and some other connected IoT devices. In order to create worldwide connectivity between the Internet of Things (IoT) and based on the SDN architecture in the medical contexts, this paper's contribution is to outline some relevant directions. Additionally, we provide a model based on software defined network principles that depicts interactions between a group of people each of whom have a Nano network within their bodies and the medical services via the local network of a medical institution. For everybody electrical engineers to data engineers the requirement to integrate everything in a global setting is a significant problem. As a result, the cloud is useful for handling the instantaneous sharing of information. In terms of health care, the effort is also stated in terms of IoT architecture and services. IoT's current prospects for the healthcare sector are quite promising. Due to its capacity for sensing and measuring, it is also highly well-liked. From the smallest sensor to the massive amounts of data gathered, this revolution is completely changing how we view healthcare.
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References
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[2] Amin, Syed Umar, and M. Shamim Hossain. "Edge intelligence and internet of things in healthcare: a survey." IEEE Access 9 (2020): 45-59.
[3] Javdani, Hamideh, and Hooman Kashanian. "Internet of things in medical applications with a service-oriented and security approach: a survey." Health and Technology 8.1 (2018): 39-50.
[4] Dhanvijay, Mrinai M., and Shailaja C. Patil. "Internet of Things: A survey of enabling technologies in healthcare and its applications." Computer Networks 153 (2019): 113-131.
[5] Thilakarathne, Navod Neranjan, Mohan Krishna Kagita, and Thippa Reddy Gadekallu. "The role of the internet of things in health care: a systematic and comprehensive study." Available at SSRN 3690815 (2020).
[6] Usak, Muhammet, et al. "Health care service delivery based on the Internet of things: A systematic and comprehensive study." International Journal of Communication Systems 33.2 (2020): e4179.
[7] Asghari, Parvaneh, Amir Masoud Rahmani, and Hamid Haj Seyyed Javadi. "Internet of Things applications: A systematic review." Computer Networks 148 (2019): 241-261.
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[9] Ratta, Pranav, et al. "Application of blockchain and internet of things in healthcare and medical sector: applications, challenges, and future perspectives." Journal of Food Quality 2021 (2021).
[10] Priyadarsini, Madhukrishna, and Padmalochan Bera. "Software defined networking architecture, traffic management, security, and placement: A survey." Computer Networks 192 (2021): 108047.
[11] Yao, Haipeng, et al. "NetworkAI: An intelligent network architecture for self-learning control strategies in software defined networks." IEEE Internet of Things Journal 5.6 (2018): 4319-4327.
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[16] Li, Junxia, et al. "A secured framework for sdn-based edge computing in IOT-enabled healthcare system." IEEE Access 8 (2020): 135479-135490.
[17] Rahman, Anichur, et al. "SDN–IoT empowered intelligent framework for industry 4.0 applications during COVID-19 pandemic." Cluster Computing 25.4 (2022): 2351-2368.
[18] Li, Wei, et al. "A comprehensive survey on machine learning-based big data analytics for IoT-enabled smart healthcare system." Mobile Networks and Applications 26.1 (2021): 234-252.
[19] Sengupta, Souvik, and Suman Sankar Bhunia. "Secure data management in cloudlet assisted IoT enabled e-health framework in smart city." IEEE Sensors Journal 20.16 (2020): 9581-9588.
[20] Wahab, Fazal, et al. "An AI-driven hybrid framework for intrusion detection in IoT-enabled E-health." Computational Intelligence and Neuroscience 2022 (2022).
[21] Javed, F., Afzal, M.K., Sharif, M., et al.: ‘Internet of Things (IoT) operating systems support, networking technologies, applications, and challenges: A comparative review’, IEEE Commun. Surveys Tutor., 2018, 20, (3), pp. 2062– 2100.
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[23] Chakraborty, Chinmay, et al., eds. Internet of things for healthcare technologies. Springer, 2021.
[24] Ahmadi, Hossein, et al. "The application of internet of things in healthcare: a systematic literature review and classification." Universal Access in the Information Society 18.4 (2019): 837-869.
[25] Anand, Sharath, and Sudhir K. Routray. "Issues and challenges in healthcare narrowband IoT." 2017 International Conference on Inventive Communication and Computational Technologies (ICICCT). IEEE, 2017.
[26] Tallapragada, V. V., et al. "Significance of Internet of Things (IoT) in Health Care with Trending Smart Application." Smart Systems: Innovations in Computing. Springer, Singapore, 2022. 237-245.
[27] Yang, Dawei, et al. "Application of Internet of Things in Chronic Respiratory Disease Prevention, Diagnosis, Treatment and Management." Clinical eHealth (2022).
[28] Mohana, J., et al. "Application of internet of things on the healthcare field using convolutional neural network processing." Journal of Healthcare Engineering 2022 (2022).
[29] M. Cicioğlu and A. Çalhan, “SDN-based wireless body area network routing algorithm for healthcare architecture,” ETRIJournal, vol. 41, no. 4, pp. 452–464, 2019.
[30] K. Hasan, X. W. Wu, K. Biswas, and K. Ahmed, “A novel framework for software defined wireless body area network,” in 2018 8th International conference on intelligent systems, modelling and simulation (ISMS), pp. 114–119, IEEE, Kuala Lumpur, Malaysia, 2018, May.
[31] Sahoo, Kshira Sagar, et al., eds. SDN-Supported Edge-Cloud Interplay for Next Generation Internet of Things. CRC Press, 2022.
[32] Ja’afreh, Mohammed Al, et al. "Toward integrating software defined networks with the Internet of Things: a review." Cluster Computing (2021): 1-18.
[33] Abid, Muhammad Aneeq, et al. "Evolution towards smart and software-defined internet of things." AI 3.1 (2022): 100-123.
[34] Othman, Soufiene Ben, Faris A. Almalki, and Hedi Sakli. "Internet of things in the healthcare applications: overview of security and privacy issues." Intelligent Healthcare (2022): 195-213.
[35] Gartner. 8.4 Billion Connected `Things' Will Be Use in 2017, Up 31 Percent From 2016. Accessed: Apr. 7, 2019. [Online]. Available: https://www.gartner.com/newsroom/id/3598917
[36] G. Yang, M. A. Jan, V. G. Menon, P. G. Shynu, M. M. Aimal, and M. D. Alshehri, ``A centralized cluster-based hierarchical approach for green communication in a smart healthcare system,'' IEEE Access, vol. 8, pp. 101464_101475, 2020.
[37] F. Khan, A. U. Rehman, A. Yahya, M. A. Jan, J. Chuma, Z. Tan, and K. Hussain, ``A quality of service-aware secured communication scheme for Internet of Things-based networks,'' Sensors, vol. 19, no. 19, p. 4321, Oct. 2019.
[38] S. Zeadally, A. K. Das, and N. Sklavos, ``Cryptographic technologies and protocol standards for Internet of Things,'' Internet Things, Jun. 2019, Art. no. 100075. [Online]. Available: https://www.sciencedirect.com/ science/article/pii/S2542660519301799
[39] X. Li, J. Li, Y. Liu, Z. Ding, and A. Nallanathan, ``Residual transceiver hardware impairments on cooperative NOMA networks,'' IEEE Trans. Wireless Commun., vol. 19, no. 1, pp. 680_695, Jan. 2020.
[40] F. Khan, A. U. Rehman, and M. A. Jan, ``A secured and reliable communication scheme in cognitive hybrid ARQ-aided smart city,'' Comput. Electr. Eng., vol. 81, Jan. 2020, Art. no. 106502.
[41] J. Dizdarevi¢, F. Carpio, A. Jukan, and X. Masip-Bruin, ``A survey of communication protocols for Internet of Things and related challenges of fog and cloud computing integration,'' ACM Comput. Surveys, vol. 51, no. 6, pp. 1_29, Feb. 2019.
[42] X. Li, M. Zhao, Y. Liu, L. Li, Z. Ding, and A. Nallanathan, ``Secrecy analysis of ambient backscatter NOMA systems under I/Q imbalance,'' 2020, arXiv:2004.14563. [Online]. Available: http://arxiv.org/abs/2004.14563
[43] V. G. Menon, S. Jacob, S. Joseph, and A. O. Almagrabi, ``SDN-powered humanoid with edge computing for assisting paralyzed patients,'' IEEE Internet Things J., vol. 7, no. 7, pp. 5874_5881, Jul. 2020.
[44] A. J. Ferrer, J. M. Marquès, and J. Jorba, ``Towards the decentralised cloud: Survey on approaches and challenges for mobile, ad hoc, and edge computing,'' ACM Comput. Surveys, vol. 51, no. 6, pp. 1_36, Feb. 2019.
[45] S. Rajesh, V. Paul, V. G. Menon, S. Jacob, and P. Vinod, ``Secure brainto- brain communication with edge computing for assisting post-stroke paralyzed patients,'' IEEE Internet Things J., vol. 7, no. 4, pp. 2531_2538, Apr. 2020.
[46] W. Gong, H. Liu, J. Liu, X. Fan, K. Liu, Q. Ma, and X. Ji, ``Channelaware rate adaptation for backscatter networks,'' IEEE/ACM Trans. Netw., vol. 26, no. 2, pp. 751_764, Apr. 2018.
[47] P. Zhang, T. Taleb, X. Jiang, and B. Wu, ``Physical layer authentication for massive MIMO systems with hardware impairments,'' IEEE Trans. Wireless Commun., vol. 19, no. 3, pp. 1563_1576, Mar. 2020.
[48] Szymanski, T.H. Security and privacy for a green internet of things. IT Prof. 2017, 19, 34–41.
[49] Alam, T. A Reliable Communication Framework and Its Use in Internet of Things (IoT). Int. J. Sci. Res. Comput. Sci. Eng. Inf. Technol. 2018, 2456–3307.
[50] Abiodun, Oludare Isaac, et al. "A review on the security of the internet of things: challenges and solutions." Wireless Personal Communications 119.3 (2021): 2603-2637.
[51] Bhatt, Shobha, and Prakash Rao Ragiri. "Security trends in Internet of Things: A survey." SN Applied Sciences 3.1 (2021): 1-14.
[52] Javeed, Danish, et al. "A hybrid deep learning-driven SDN enabled mechanism for secure communication in Internet of Things (IoT)." Sensors 21.14 (2021): 4884.
[53] Harbi, Yasmine, et al. "Recent security trends in internet of things: A comprehensive survey." IEEE Access (2021).
[54] Zeleke, Esubalew M., Henock M. Melaku, and Fikreselam G. Mengistu. "Efficient intrusion detection system for SDN orchestrated Internet of Things." Journal of Computer Networks and Communications 2021 (2021).
[55] Babbar, Himanshi, et al. "Load balancing algorithm on the immense scale of internet of things in SDN for smart cities." Sustainability 13.17 (2021): 9587.
[56] Urrea, Claudio, and David Benítez. "Software-defined networking solutions, architecture and controllers for the industrial internet of things: A review." Sensors 21.19 (2021): 6585.
[57] Yungaicela-Naula, Noe M., et al. "Towards security automation in software defined networks." Computer Communications 183 (2022): 64-82.
[58] Muthanna, Mohammed Saleh Ali, et al. "Towards SDN-Enabled, Intelligent Intrusion Detection System for Internet of Things (IoT)." IEEE Access 10 (2022): 22756-22768.
[59] Wang, Shupeng, et al. "A multi-task learning-based network traffic prediction approach for SDN-enabled industrial Internet of Things." IEEE Transactions on Industrial Informatics (2022).
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Published
2023-09-30
How to Cite
Ahmed, A. S., & Salah, H. A. (2023). Development a Software Defined Network (SDN) with Internet of Things (IoT) Security for Medical Issues. Journal of Al-Qadisiyah for Computer Science and Mathematics, 15(3), Comp Page 98–116. https://doi.org/10.29304/jqcm.2023.15.3.1268
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Section
Computer Articles
