Enhancing Privacy in Internet of Things using Software Defined Network

Zangaraki, Shahrbanoo; Erfani, S. Hossein; Sahafi, Amir

doi:10.22061/jecei.2025.11621.821

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	Enhancing Privacy in Internet of Things using Software Defined Network
Journal of Electrical and Computer Engineering Innovations (JECEI)
مقاله 13، دوره 14، شماره 1، مهر 2026، صفحه 163-180 اصل مقاله (1.17 M)
نوع مقاله: Original Research Paper
شناسه دیجیتال (DOI): 10.22061/jecei.2025.11621.821
نویسندگان
Shahrbanoo Zangaraki؛ S. Hossein Erfani^* ؛ Amir Sahafi
Department of Computer Engineering, ST.C., Islamic Azad University, Tehran, Iran
تاریخ دریافت: 19 خرداد 1404، تاریخ بازنگری: 16 شهریور 1404، تاریخ پذیرش: 27 شهریور 1404
چکیده
Background and Objectives: The Internet of Things (IoT) serves as a fundamental communication model, enabling objects to deliver data and services to users. With the rapid expansion of IoT, ensuring privacy and preventing the disclosure of sensitive data during message exchanges between objects has become increasingly challenging. This paper presents an attribute-based framework designed to enhance privacy protection in IoT environments by leveraging software-defined networking (SDN) technology. Methods: By leveraging the SDN and the Attribute-Based Privacy Preserving (ABPP) model, our proposed framework employs an advanced algorithm to enhance privacy for client requests accessing IoT services. It focuses on protecting sensitive information during message transmission by implementing techniques for anonymity, unlinkability, and untraceability, tailored to the sensitivity level of each message. To further enhance message privacy within the IoT network, our framework incorporates IP aliasing, dynamic channel switching, and payload encryption. Results: Our proposed framework significantly enhances privacy protection in IoT networks by dynamically applying anonymity and concealment techniques tailored to the sensitivity of CoAP messages. Simulation results using CloudSimSDN confirm the framework's effectiveness in safeguarding sensitive information while maintaining optimal communication performance. Employing three privacy-preserving techniques results in an average CPU utilization that is 0.14 units higher compared to using a single technique. We provide a security evaluation that includes formal verification techniques and informal analysis, and show that the proposed framework is secure against anonymity and MITM attacks, replay attacks, Sybil, and IP spoofing. Conclusion: In this paper, we present a four-layer SDN-based framework designed to enhance privacy in IoT networks through the use of the Attribute-Based Privacy Preserving (ABPP) model. The framework employs IP aliasing, dynamic routing, and content encryption techniques tailored to the sensitivity of CoAP messages to ensure data protection. Our implementation and experiments conducted with CloudSimSDN validate the framework's effectiveness in safeguarding sensitive information.
کلیدواژه‌ها
IoT؛ SDN؛ Privacy Preserving

مراجع
[1] 20 10 2023. [Online]. Available:https://www.statista.com/statistics/471264/iot-number-of-connected-devices-worldwide/. [2] D. E. Kouicem, A. Bouabdallah, H. Lakhlef, “Internet of things security: A top-down survey,” Comput. Networks, 141: 199-221, 2018. [3] G. Yang, "An Overview Of Current Solutions For Privacy In The Internet Of Things," Front. Artif. Intell., 5(812732): 8, 2022. [4] H. Ahmadvand, C. Lal, H. Hemmati, M. Sookhak, M. Conti, “Privacy-preserving and security in sdn-based IOT: A survey,” IEEE Access, 11: 44772 - 44786, 2023. [5] M. Amiri-Zarandi, R. A. Dara, E. Fraser, "A survey of machine learning-based solutions to protect privacy in the Internet of Things," Comput. Secur., 96, 101921, 2020. [6] B. Ayodele, V. Buttigieg, “SDN as a defence mechanism: a comprehensive survey,” Int. J. Inf. Secur., 23(1): 141-185, 2024. [7] S. Bera, S. Misra, A. . V. Vasilakos, "Software-defined networking for internet of things: A survey," IEEE Internet Things J. , 4(6): 1994-2008, 2017. [8] D. Kreutz, F. M. V. Ramos, P. Verissimo, C. Esteve Rothenberg, S. Azodolmolky, "Software-deﬁned networking: A comprehensive survey," Proc. IEEE, 103(1): 14-76, 2015. [9] P. M. Chanal, M. S. Kakkasageri, “Security and privacy in IoT: A survey,” Wireless Pers. Commun., 115(2): 1667-1693, 2020. [10] S. Ullah, S. Ullah, M. Imran, “Recent developments in authentication schemes used in machine-type communication devices in machine-to-machine communication: Issues and challenges,” Comput. Mater. Continua, 79(1): 93-115, 2024. [11] S. R. Mishra, B. Shanmugam, K. C. Yeo, S. Thennadil, “SDN-enabled IoT security frameworks—A review of existing challenges,” Technologies, 13(3): 121, 2025. [12] C. Bormann, A. P. Castellani, Z. Shelby, “CoAP: An application protocol for billions of tiny internet nodes,” IEEE Comput. Soc., 16(2): 62-67, 2012. [13] Z. Shelby, K. Hartke, C. Bormann, "The Constrained Application Protocol (CoAP)," Internet Eng. Task Force (IETF), 2014. [Online]. [14] W. Bekri, R. Jmal, L. C. Fourati, “Internet of things management based on software defined,” Int. J. Wireless Inf. Networks, 27(September): 385-410, 2020. [15] H. Farhady, H. Lee, A. Nakao, "Software-defined networking: A survey," Comput. Networks, 81: 79-95, 2015. [16] I. Alsmadi, D. Xu, "Security of software defined networks: A survey," Comput. Secur., 1(53): 79-108, 2015. [17] B. MISHRA, A. KERTESZ, “The use of MQTT in M2M and IoT Systems: A Survey,” IEEE Access, 8: 201071-201086, 2020. [18] W. Wang, H. Zhao, J. Zhu, “GRPC: A communication cooperation mechanism in distributed systems,” ACM SIGOPS Oper. Syst. Rev., 27(3): 75–86, 1993. [19] S. Zangarak, M. Mirabi, S. H. Erfani, A. Sahafi, “SecShield: An IoT access control framework with edge caching using software defined network,” Peer-to-Peer Networking Appl., 18(56), 2025. [20] M. Seliem, K. Elgazzar, K. Khalil, "Towards privacy preserving iot environments: A survey," Wireless Commun. Mobile Comput., 2018(2): 15, 2018. [21] A. A. A. Sen, F. A. Eassa, K. Jambi, M. Yamin , "Preserving privacy in internet of things: a survey," Int. J. Inf. Technol., 10(2): 189-200, 2018. [22] G. Yang, “An overview of current solutions for privacy in the internet of things,” Front. Artif. Intell., 5, 812732: 8, 2022. [23] Q. Razi, R. Piyush, A. Chakrabarti, A. Singh, V. Hassija, G. S. Chalapathi, “Enhancing data privacy: A comprehensive survey of privacy-enabling technologies,” IEEE Access, 13: 40354 – 40385, 2025. [24] M. Gheisariy, G. Wang, W. Z. Khanz, C. Fernandez-Campusano, "A context-aware privacy-preserving method for IoT-based smart city using software defined networking," Comput. Secur., 87, 101470, 2019. [25] V. Sridharan, K. Sudheera, K. Liyanage, M. Gurusamy, "Privacy-aware switch-controller mapping in SDN-based IoT networks," in Proc. International Conference on COMmunication Systems & NETworkS (COMSNETS), 2020. [26] M. Gheisari, G. Wang, S. Chen, "An edge computing-enhanced internet of things framework for privacy-preserving in smart city," Comput. Electr. Eng., 81: 106504, 2020. [27] M. Gheisari, G. Wang, S. Chen, H. Ghorbani, "IoT-SDNPP: A method for privacy-preserving in smart city with software defined networking," in Proc. International Conference on Algorithms and Architectures for Parallel Processing, 2018. [28] M. Gheisari, G. Wang, S. Chen, A. Seyfollahi, "A method for privacy-preserving in IoT-SDN integration environment," in Proc. IEEE Intl Conf on Parallel & Distributed Processing with Applications, Ubiquitous Computing & Communications, Big Data & Cloud Computing, Social Computing & Networking, Sustainable Computing & Communications (ISPA/IUCC/BDCloud/SocialCom/SustainCom), 2018. [29] C. Ke, Z. Zhu, F. Xiao, Z. Huang, Y. Meng, "SDN-based privacy and functional authentication scheme for fog nodes of smart healthcare," IEEE Internet Things J., 9(18): 17989-18001, 2022. [30] J. A. Alzubi, A. Movassagh, M. Gheisari, H. E. Najafabadi, A. A. Abbasi, Y. Liu, Z. Pingmei, M. Izadpanahkakhk, A. P. Najafabadi, "A dynamic SDN-based privacy-preserving approach for smart city using trust technique," in Proc. 2022 9th Iranian Joint Congress on Fuzzy and Intelligent Systems (CFIS): 1-5, 2022. [31] S. R. Alotaibi, H. Alfraihi, N. Alruwais, M. Maray, A. B. Miled, A. M. Al-Sharafi, M. Alotaibi, S. H. Alajmani, “Two-tiered privacy preserving framework for software-defined networking driven defence mechanism for consumer platforms,” IEEE Access, 13: 26684 – 26694, 2025. [32] M. Gheisari, H. Tahaei, M. Malik, E. Mnkandla, Z. Wang, “A flexible software-defined networking-based privacy-preserving method for internet of things-based smart city environment based on the neighbors situation,” Comput., 58(5): 27-36, 2025. [33] M. Conti, P. Kaliyar, C. Lal, "CENSOR: Cloud-enabled secure IoT architecture over SDN," Concurrency Comput. Pract. Exper., 31(8): e4978, 2019. [34] Y. Jararweh, M. Al-Ayyoub, A. Darabseh, E. Benkhelifa, M. Vouk, A. Rindos, "SDIOT: a software defined based internet of things framework," J. Ambient Intell. Human Comput., 6(4): 453-461, 2015. [35] J. Son, A. V. Dastjerdi, R. N. Calheiros, X. Ji, Y. Yoon, Y. Y. Buyya, “CloudSimSDN: Modeling and simulation of software-defined cloud data centers,” in Proc. 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, 2015. [36] S. ZakeriKia, R. Hajian, S. H. Erfani, A. M. Rahmani, “Robust and anonymous handover authentication scheme without key escrow problem in vehicular sensor networks,” Wireless Networks, 27(7): 4997-5028, 2021.
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Enhancing Privacy in Internet of Things using Software Defined Network