Lightweight Hybrid Cryptography Algorithm for Wireless Body Area Sensor Networks Using Cipher Technique
Abstract
Wireless Body Area Networks (WBANs) are based on connected and dedicated sensor nodes for patient monitoring in the healthcare sector. The sensor nodes are implanted inside or outside the patient’s body for sensing the vital signs and transmitting the sensed data to the end devices for decision-making. These sensor nodes use advanced communication technologies for data communication. However, they have limited capabilities in terms of computation power, battery life, storage, and memory, and these constraints make networks more vulnerable to security breaches and routing challenges. Important and sensitive information is exchanged over an unsecured channel in the network. Several devices are involved in handling the data in WBANs, including sink nodes, coordinator, or gateway nodes. Many cryptographic schemes have been introduced to ensure security in WBANs by using traditional confidentiality and key-sharing strategies. However, these techniques are not suitable for limited resource-based sensor nodes. In this paper, we propose a Lightweight Hybrid Cryptography Algorithm (LWHCA) that uses cryptographicbased techniques for WBAN networks to improve network security, minimize network overhead and delay issues, and improve the healthcare monitoring processes. The proposed solution is evaluated in a simulation scenario and compared with state-of-the-art schemes in terms of energy consumption, and ciphertext size.
Keywords:
WBAN, healthcare, security, data, network, routing, cryptography, lightweight, mechanismReferences
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2. M. Anwar, A.H. Abdullah, K.N. Qureshi, A.H. Majid, Wireless body area networks for healthcare applications: An overview, TELKOMNIKA, 15(3): 1088–1095, 2017, https://doi.org/10.12928/TELKOMNIKA.v15i3.5793
3. R. Qazi, K.N. Qureshi, F. Bashir, N.U. Islam, S. Iqbal, A. Arshad, Security protocol using elliptic curve cryptography algorithm for wireless sensor networks, Journal of Ambient Intelligence Humanized Computing, 12: 547–566, 2021, https://doi.org/10.1007/s12652-020-02020-z
4. M.F. Moghadam, M. Nikooghadam, M.A.B. Al Jabban, M. Alishahi, L. Mortazavi, A. Mohajerzadeh, An efficient authentication and key agreement scheme based on ECDH for wireless sensor network, IEEE Access, 8: 73182–73192, 2020, https://doi.org/10.1109/ACCESS.2020.2987764
5. K. Awan, K.N. Qureshi, M. Mehwish, Wireless body area networks routing protocols: A review, Indonesian Journal of Electrical Engineering Computer Science, 4(3): 594–604, 2016, https://doi.org/10.11591/ijeecs.v4.i3.pp594-604
6. K.N. Qureshi, S. Din, G. Jeon, F. Piccialli, Link quality and energy utilization based preferable next hop selection routing for wireless body area networks, Computer Communications, 149: 382–392, 2020, https://doi.org/10.1016/j.comcom.2019.10.030
7. P. Sinha, V.K. Jha, A.K. Rai, B. Bhushan, Security vulnerabilities, attacks and countermeasures in wireless sensor networks at various layers of OSI reference model: A survey, [in:] 2017 International Conference on Signal Processing and Communication (ICSPC), Coimbatore, India, pp. 288–293, 2017, https://doi.org/10.1109/CSPC.2017.8305855
8. R. Rizk, Y. Alkady, Two-phase hybrid cryptography algorithm for wireless sensor networks, Journal of Electrical Systems Information Technology, 2(3): 296–313, 2015, https://doi.org/10.1016/j.jesit.2015.11.005
9. A. Karakaya, S. Akleylek, A survey on security threats and authentication approaches in wireless sensor networks, [in:] 2018 6th International Symposium on Digital Forensic and Security (ISDFS), Antalya, Turkey, pp. 1–4, 2018, https://doi.org/10.1109/ISDFS.2018.8355381
10. M.S. Yousefpoor, E. Yousefpoor, H. Barati, A. Barati, A. Movaghar, M. Hosseinzadeh, Secure data aggregation methods and countermeasures against various attacks in wireless sensor networks: A comprehensive review, Journal of Network and Computer Applications, 190: 103118, 2021, https://doi.org/10.1016/j.jnca.2021.103118
11. S.B. Sadkhan, A.O. Salman, A survey on lightweight-cryptography status and future challenges, [in:] 2018 International Conference on Advance of Sustainable Engineering and its Application (ICASEA), Wasit-Kut, Iraq, pp. 105–108, 2018, https://doi.org/10.1109/ICASEA.2018.8370965
12. K.N. Mishra, C. Chakraborty, A novel approach towards using big data and IoT for improving the efficiency of m-health systems, [in:] Advanced Computational Intelligence Techniques for Virtual Reality in Healthcare, D. Gupta, A. Hassanien, A. Khanna [Eds.], Studies in Computational Intelligence, Springer, Vol. 875, pp. 123–139, 2020, https://doi.org/10.1007/978-3-030-35252-3_7
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25. V.S. Naresh, R. Sivaranjani, N.V.E.S. Murthy, Provable secure lightweight hyper elliptic curve-based communication system for wireless sensor networks, International Journal of Communication Systems, 31(15): e3763, 2018, https://doi.org/10.1002/dac.3763
26. K.M. Abdullah, E.H. Houssein, H.H. Zayed, New security protocol using hybrid cryptography algorithm for WSN, [in:] 2018 1st International Conference on Computer Applications & Information Security (ICCAIS), Riyadh, Saudi Arabia, pp. 1–6, 2018, https://doi.org/10.1109/CAIS.2018.8442003
27. N. Gupta, V. Kapoor, Hybrid cryptographic technique to secure data in web application, Journal of Discrete Mathematical Sciences Cryptography, 23(1): 125–135, 2020, https://doi.org/10.1080/09720529.2020.1721872
28. M. Yuvaraju, K.A. Pranesh, Energy proficient hybrid secure scheme for wireless sensor networks, Wireless Personal Communications, 117: 747–767, 2021, https://doi.org/10.1007/s11277-020-07895-x
29. C.-W. Hung, W.-T. Hsu, Power consumption and calculation requirement analysis of AES for WSN IoT, Sensors, 18(6): 1675, 2018, https://doi.org/10.3390/s18061675
30. S. Ali et al., An efficient cryptographic technique using modified Diffie–Hellman in wireless sensor networks, International Journal of Distributed Sensor Networks, 16(6): 1550147720925772, 2020, https://doi.org/10.1177/1550147720925772
