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Secure Data Delivery in a Software-Defined Wireless Body Area Network

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
High security solutions are highly important in wireless medical environments, since patient data is confidential, sensitive and must be transmitted over a secure connection. Accordingly, a hybrid encryption method is proposed to ensure data confidentiality (RSA-2048 for key exchange using ACL in SDN with the addition of AES-256-CTR and a hashed secret key for data encryption), and the encrypted data is stored in a private blockchain with the DBFT consensus algorithm to ensure the integrity of data before it being accessed by a doctor's application which decrypts and displays the relevant information. The system was programmed using Python, in an NS3.37 simulator installed on Ubuntu with a MySQL database created using the Apache XAMPP. The product turned out to be a highly secure system for transmitting data from a medical sensor to the doctor's application, offering a throughput of approximately 9 Gbps for both encryption and decryption tasks, while the processing time equaled 0.014 µs per a 128-bit block size for both encryption and decryption, with latency amounting to 0.14 s per 1 KB of data, and the blockchain agreement time equaling 4 ms per 1 KB.
Słowa kluczowe
EN
blockchain   SDN   SD-WBAN   WBAN  
Rocznik
Tom
Strony
41--47
Opis fizyczny
Bibliogr. 18 poz., rys., tab.
Twórcy
  • College of Information Engineering Al-Nahrain University, Baghdad, Iraq
  • College of Information Engineering Al-Nahrain University, Baghdad, Iraq
Bibliografia
  • [1] B. Abidi, A. Jilbab, and E.H. Mohamed, "Wireless Body Area Networks: A Comprehensive Survey", Journal of Medical Engineering & Technology, vol. 44, no. 3, pp. 97-107, 2020.
  • [2] T. Benmansour, T. Ahmad, S. Moussaoui, and Z. Doukha, "Performance Analyses of the IEEE 802.15.6 Wireless Body Area Network with Heterogeneous Traffic", Journal of Network and Computer Applications, vol. 163, 2020.
  • [3] K. Hasan, et al., "A blockchain-based Secure Data-sharing Framework for Software Defined Wireless Body Area Networks", Computer Networks, vol. 211, art. no. 109004, 2022.
  • [4] T. Jabeen, H. Ashraf, and A. Ullah, "A Survey on Healthcare Data Security in Wireless Body Area Networks", Journal of Ambient Intelligence and Humanized Computing, vol. 12, pp. 9841-9854, 2021.
  • [5] M.S. Hajar, M.O. Al-Kadri, and H.K. Kalutarage, "A survey on wireless body area networks: Architecture, security challenges and research opportunities", Computers & Security, vol. 104, art. no. 102211, 2021.
  • [6] J.C.C. Chica., J.C. Imbachi, and J.F.B. Vega, "Security in SDN: A Comprehensive Survey", Journal of Network and Computer Applications, vol. 159, art. no. 102595, 2020.
  • [7] D. Kreutz et al., "Software-defined Networking: A Comprehensive Survey", Proceedings of the IEEE, vol. 103, pp. 14-76, 2015.
  • [8] Y. Meng et al., "SDN-based Security Enforcement Framework for Data Sharing Systems of Smart Healthcare", IEEE Transactions on Network and Service Management, vol. 17, no. 1, pp. 308-318, 2019.
  • [9] K. Hasan et al., "A Novel Framework for Software Defined Wireless Body Area Network", 2018 8th International Conference on Intelligent Systems, Modelling and Simulation (ISMS), Kuala Lumpur, Malaysia, 2018.
  • [10] B. Narwal and A.K. Mohapatra, "A Survey on Security and Authentication in Wireless Body Area Networks", Journal of Systems Architecture, vol. 113, art. no. 101883, 2021.
  • [11] A. Ferhi, K. Sethom, and F. Choubani, "Energy Efficiency Optimization for Wireless Body Area Networks Under 802.15.6 Standard", Wireless Personal Communications, vol. 109, no. 2, 2019.
  • [12] S. Das and S. Namasudra, "A Novel Hybrid Encryption Method to Secure Healthcare Data in IoT-enabled Healthcare Infrastructure", Computers and Electrical Engineering, vol. 101, art. no. 107991, 2022.
  • [13] K. Sowjanya and M. Dasgupta, "A Ciphertext-policy Attribute Based Encryption Scheme for Wireless Body Area Networks Based on ECC", Journal of Information Security and Applications, vol. 54, art. no. 102559, 2020.
  • [14] S. Singh et al., "A GA-based Sustainable and Secure Green Data Communication Method Using IoT-enabled WSN in Healthcare", IEEE Internet of Things Journal, vol. 9, no. 10, pp. 7481-7490, 2022.
  • [15] A.E. Guerrero-Sanchez et al., "Blockchain Mechanism and Symmetric Encryption in a Wireless Sensor Network", Sensors, vol. 20, no. 10, art. no. 2798, 2020.
  • [16] H. Benaddi et al., "A Framework to Secure Cluster-header Decision in Wireless Sensor Network Using Blockchain", Second International Conference, ACOSIS 2019, Marrakesh, Morocco, 2020.
  • [17] T. Manjunath and A.S. Shobha, "Design & Development of Transmitted & Encrypted Datas Using SDN and Energy Self-healing Concepts Used in RF Energy Harvesting Wireless Sensor Nets", 2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT), Kannur, India, 2022.
  • [18] W. Stallings, Cryptography and Network Security: Principles and Practice, Pearson, 7th ed., 768 p., 2016 (ISBN: 9780134444284).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-cb7ac21d-4de7-4a02-bc9c-3dd0f093691c
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