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SAMAKA: Secure and Anonymous Mutual Authentication and Key Agreement Scheme for Wireless Body Area Networks

  • Research Article-Computer Engineering and Computer Science
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Abstract

The burgeoning advances in wireless communications, healthcare facilities, and sensor technologies bring a lot of transformation in businesses, the global economy, and convenience to people’s life. To this, Wireless Body Area Networks (WBAN) has transpired as a low-cost, simple and effective solution for Smart E-Healthcare Systems. However, the mobility and open communication channel pose a significant risk of unapproved access, leakage of sensitive E-health data, and various attacks from the adversary, which remarkably impacts the large-scale adoption of the technology. To deal with such issues related to security and privacy in WBANs, many authentication schemes were suggested by the researchers in the past few years claiming to be secure, privacy-preserving, and efficient. Unfortunately, the existing schemes present security and privacy shortcomings which bring about the issues such as threats from adversaries and abuse of services. In this paper, we have propounded a secure and anonymous mutual authentication scheme for WBANs (SAMAKA). In particular, SAMAKA preserves all the desired security features and guards from various security attacks from an adversary. Besides, the formal security proof for SAMAKA is given using BAN Logic and AVISPA. Moreover, SAMAKA is proved to be provably secure in the RoR Model. More importantly, a detailed informal security analysis demonstrates the robustness of SAMAKA against well-known security attacks. Finally, a comparative performance analysis reveals that SAMAKA achieves superior performance and shows promising results while providing more robust security and privacy.

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References

  1. Zimmerman, T.G.: Personal area networks: near-field intrabody communication. IBM Syst. J. 35, 609–617 (1996)

    Article  Google Scholar 

  2. Mohammed, K.I.; Zaidan, A.A.; Zaidan, B.B.; Albahri, O.S.; Alsalem, M.A.; Albahri, A.S.; Hashim, M.: Real-time remote-health monitoring systems: a review on patients prioritisation for multiple-chronic diseases, taxonomy analysis, concerns and solution procedure. J. Med. Syst. 43(7), 223 (2019)

    Article  Google Scholar 

  3. Narwal, B.; Mohapatra, A.K.: A Review on authentication protocols in wireless body area networks (WBAN). In: 2018 3rd International Conference on Contemporary Computing and Informatics (IC3I), Gurgaon, India (2018)

  4. Sammoud, A.; Chalouf, M.A.; Hamdi, O.; Montavont, N.; Bouallegue, A.: A new biometrics-based key establishment protocol in WBAN: energy efficiency and security robustness analysis. Comput. Secur. 96, 101838 (2020)

    Article  Google Scholar 

  5. Arfaoui, A.; Boudia, O.R.M.; Kribeche, A.; Senouci, S.M.; Hamdi, M.: Context-aware access control and anonymous authentication in WBAN. Comput. Secur. 88, 101496 (2020)

    Article  Google Scholar 

  6. Hussain, M.; Mehmood, A.; Khan, S.; Khan, M.A.; Iqbal, Z.: A Survey on Authentication Techniques for Wireless Body Area Networks. J. Syst. Architect. 101, 101655 (2019)

    Article  Google Scholar 

  7. Narwal, B.; Mohapatra, A.K.: A survey on security and authentication in wireless body area networks. J. Syst. Architect. (2020). https://doi.org/10.1016/j.sysarc.2020.101883

    Article  Google Scholar 

  8. Ibrahim, M.H.; Kumari, S.; Das, A.K.; Wazid, M.; Odelu, V.: Secure anonymous mutual authentication for star two-tier wireless body area networks. Comput. Methods Programs Biomed. 135, 37–50 (2016)

    Article  Google Scholar 

  9. Gahlot, S.; Reddy, S.R.N.; Kumar, D.: Review of smart health monitoring approaches with survey analysis and proposed framework. IEEE Internet Things J. 6(2), 2116–2127 (2018)

    Article  Google Scholar 

  10. Ingestible biomedical Sensor, Available: https://www.azosensors.com/article.aspx?ArticleID=183. [Accessed On: 3, April, 2020]

  11. Intraocular Pressure Sensor, Available: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5428792/. [Accessed On: 3, April, 2020]

  12. Middle Ear MEMS Microphone, Available: https://archive.unews.utah.edu/news_releases/a-middle-ear-microphone/. [Accessed On: 3, April, 2020]

  13. Microneedle Drug Delivery System, Available: https://www.purdue.edu/newsroom/research/2010/100831ZiaiePatches.html. [Accessed On: 3, April, 2020]

  14. MEMS Drug Delivery devices, Available: http://web.mit.edu/cprl/www/research.shtml. [Accessed On: 3, April, 2020]

  15. Nanoparticle based Cancer Biomarker Sensor, Available: http://web.mit.edu/cprl/www/research.shtml. [Accessed On: 3, April, 2020]

  16. Non Invasive Blood Monitor, Available: https://ucsdnews.ucsd.edu/pressrelease/clinical_trial_tests_tattoo_sensor_as_needleless_glucose_monitor_for_diabet. [Accessed On: 3, April, 2020]

  17. Pressure Sensor for Damaged Nerves, Available: https://www.imedicalapps.com/2012/07/orpyx-body-sensor-diabetics-prevent-foot-ulcers/. [Accessed On: 3, April, 2020]

  18. Smart Contact Lens, Available: https://labiotech.eu/features/contact-lens-glucose-diabetes/. [Accessed On: 3, April, 2020]

  19. Wearable Skin sensor, Available: https://www.kth.se/en/aktuellt/nyheter/hudnara-elektronisk-doktor-ar-framtiden-1.382668. [Accessed On: 3, April, 2020]

  20. Wearable UV Exposure, Available: https://www.wearable-technologies.com/2018/08/stay-safe-in-the-sun-smart-wearables-to-monitor-uv-radiation/. [Accessed On: 3, April, 2020]

  21. Mwitende, G.; Ye, Y.; Ali, I.; Li, F.: Certificateless authenticated key agreement for blockchain-based WBANs. J. Syst. Archit. 110, 101777 (2020)

    Article  Google Scholar 

  22. Khan, K.; Mehmood, A.; Khan, S.; Khan, M.A.; Iqbal, Z.; Mashwani, W.K.: A survey on intrusion detection and prevention in wireless ad-hoc networks. J. Syst. Archit. 105, 101701 (2020)

    Article  Google Scholar 

  23. Razaque, A.; Rizvi, S.S.: Secure data aggregation using access control and authentication for wireless sensor networks. Comput. Secur. 70, 532–545 (2017)

    Article  Google Scholar 

  24. Odelu, V.; Saha, S.; Prasath, R.; Sadineni, L.; Conti, M.; Jo, M.: Efficient privacy preserving device authentication in WBANs for industrial e-health applications. Comput. Secur. 83, 300–312 (2019)

    Article  Google Scholar 

  25. Davis, J.J.; Clark, A.J.: Data preprocessing for anomaly based network intrusion detection: A review. Comput. Secur. 30(6–7), 353–375 (2011)

    Article  Google Scholar 

  26. Djelouat, H.; Amira, A.; Bensaali, F.; Boukhennoufa, I.: Secure compressive sensing for ECG monitoring. Comput. Secur. 88, 101649 (2020)

    Article  Google Scholar 

  27. Huang, H.; Zhu, P.; Xiao, F.; Sun, X.; Huang, Q.: A Blockchain-based Scheme for Privacy-Preserving and Secure Sharing of Medical Data. Comput. Secur. 99, 102010 (2020)

    Article  Google Scholar 

  28. Li, X.; Ibrahim, M.H.; Kumari, S.; Sangaiah, A.K.; Gupta, V.; Choo, K.K.R.: Anonymous mutual authentication and key agreement scheme for wearable sensors in wireless body area networks. Comput. Net. 129, 429–443 (2017)

    Article  Google Scholar 

  29. Chen, C.-M.; Xiang, B.; Wu, T.-Y.; Wang, K.-H.: An anonymous mutual authenticated key agreement scheme for wearable sensors in wireless body area networks. Appl. Sci. 8(7), 1074 (2018)

    Article  Google Scholar 

  30. Koya, A.M.: Anonymous hybrid mutual authentication and key agreement scheme for wireless body area network. Comput. Net. 140(2018), 138–151 (2018). https://doi.org/10.1016/j.comnet.2018.05.006

    Article  Google Scholar 

  31. Gupta, A.; Tripathi, M.; Sharma, A.: A provably secure and efficient anonymous mutual authentication and key agreement protocol for wearable devices in WBAN. Comput. Commun. (2020). https://doi.org/10.1016/j.comcom.2020.06.010

    Article  Google Scholar 

  32. Wu, F.; Xu, L.; Kumari, S.; Li, X.: An improved and anonymous two-factor authentication protocol for healthcare applications with wireless medical sensor networks. Multimedia Syst. 23(2), 195–205 (2017)

    Article  Google Scholar 

  33. Amin, R.; Islam, S.H.; Biswas, G.; Khan, M.K.; Kumar, N.: A robust and anonymous patient monitoring system using wireless medical sensor networks. Futur. Gener. Comput. Syst. 80, 483–495 (2018)

    Article  Google Scholar 

  34. Farash, M.S.; Chaudhry, S.A.; Heydari, M.; Sadough, S.; Mohammad, S.; Kumari, S., et al.: A lightweight anonymous authentication scheme for consumer roaming in ubiquitous networks with provable security. Int. J. Commun. Syst. 30(4), e3019 (2017)

    Article  Google Scholar 

  35. Wu F, Li X, Sangaiah AK, Xu L, Kumari S, Wu L, et al. A lightweight and robust twofactor authentication scheme for personalized healthcare systems using wireless medical sensor networks. Future Generation Computer Systems 2018.

  36. Chen, Y.; Ge, Y.; Wang, Y.; Zeng, Z.: An improved three-factor user authentication and key agreement scheme for wireless medical sensor networks. IEEE Access 7, 85440–85451 (2019)

    Article  Google Scholar 

  37. Kompara, M.; Islam, S.H.; Hlbl, M.: A robust and efficient mutual authentication and key agreement scheme with untraceability for wbans. Comput. Netw. 148, 196–213 (2019). https://doi.org/10.1016/j.comnet.2018.11.016

    Article  Google Scholar 

  38. Xu, Z.; Xu, C.; Chen, H.; Yang, F.: A lightweight anonymous mutual authentication and key agreement scheme for WBAN. Concurrency and Comput.: Pract. Exp. 31(14), e5295 (2019)

    Article  Google Scholar 

  39. Ostad-Sharif, A.; Nikooghadam, M.; Abbasinezhad-Mood, D.: Design of a lightweight and anonymous authenticatedkey agreement protocol for wireless body area networks. Int. J. Commun. Syst. 32(12), e3974 (2019)

    Article  Google Scholar 

  40. Alzahrani, B.A.; Irshad, A.; Albeshri, A.; Alsubhi, K.: A Provably Secure and Lightweight Patient-Healthcare Authentication Protocol in Wireless Body Area Networks. Wireless Pers. Commun. 117, 1–23 (2020)

    Google Scholar 

  41. Shuai, M.; Liu, B.; Yu, N.; Xiong, L.; Wang, C.: Efficient and privacy-preserving authentication scheme for wireless body area networks. J. Inform. Security Appl. 52, 102499 (2020)

    Google Scholar 

  42. Narwal, B.; Mohapatra, A.K.: SEEMAKA: secured energy-efficient mutual authentication and key agreement scheme for wireless body area networks. Wireless Pers. Commun. (2020). https://doi.org/10.1007/s11277-020-07304-3

    Article  Google Scholar 

  43. Fotouhi, M.; Bayat, M.; Das, A.K.; Far, H.A.N.; Morteza Pournaghi, S.; Doostari, M.A.: A lightweight and secure two-factor authentication scheme for wireless body area networks in healthcare IoT. Comput. Net. (2020). https://doi.org/10.1016/j.comnet.2020.107333

    Article  Google Scholar 

  44. Hussain SJ, Irfan M, Jhanjhi NZ, Hussain K, & Humayun M (2020). Performance Enhancement in Wireless Body Area Networks with Secure Communication. Wireless Personal Communications, 1–22.

  45. Dolev, D.; Yao, A.: On the security of public key protocols. IEEE Trans. Inf. Theory 29(2), 198–208 (1983)

    Article  MathSciNet  Google Scholar 

  46. Burrows, M.; Abadi, M.; Needham, R.: A logic of authentication. ACM Trans. Comput. Syst. 8(1), 18–36 (1990)

    Article  Google Scholar 

  47. A. Armando, D. Basin, Y. Boichutet al., 2005 The avispa tool for the automated validation of internet security protocols and applications,” inInternational Conference on Computer Aided Verification. Springer, Heidelberg.

  48. Kumar, M.; Chand, S.: A lightweight cloud-assisted identity-based anonymous authentication and key agreement protocol for secure wireless body area network. IEEE Syst. J. (2020). https://doi.org/10.1109/JSYST.2020.2990749

    Article  Google Scholar 

  49. Jabeen T, Ashraf H, & Ullah A (2021). A survey on healthcare data security in wireless body area networks. Journal of Ambient Intelligence and Humanized Computing, 1–14.

  50. Almuhaideb, A.M.; Alqudaihi, K.: A lightweight three-factor authentication scheme for WHSN architecture. Sensors 20(23), 6860 (2020)

    Article  Google Scholar 

  51. Hajar MS, Al-Kadri MO, & Kalutarage HK (2021). A Survey on Wireless Body Area Networks: Architecture, Security Challenges and Research Opportunities. Computers & Security, 102211.

  52. Almuhaideb, A.M.; Alqudaihi, K.S.: A lightweight and secure anonymity preserving protocol for WBAN. IEEE Access 8, 178183–178194 (2020)

    Article  Google Scholar 

  53. Mwitende, G.; Ali, I.; Eltayieb, N., et al.: Authenticated key agreement for blockchain-based WBAN. Telecommun. Syst. 74, 347–365 (2020). https://doi.org/10.1007/s11235-020-00662-0

    Article  Google Scholar 

  54. Azees, M.; Vijayakumar, P.; Karuppiah, M., et al.: An efficient anonymous authentication and confidentiality preservation schemes for secure communications in wireless body area networks. Wireless Netw (2021). https://doi.org/10.1007/s11276-021-02560-y

    Article  Google Scholar 

  55. Yang, X., Yi, X., Nepal, S., Khalil, I., Huang, X., & Shen, J. (2021). Efficient and Anonymous Authentication for Healthcare Service with Cloud based WBANs. IEEE Transactions on Services Computing.

  56. Hussain, S.J.; Irfan, M.; Jhanjhi, N.Z.; Hussain, K.; Humayun, M.: Performance enhancement in wireless body area networks with secure communication. Wireless Pers. Commun. 116(1), 1–22 (2021)

    Article  Google Scholar 

  57. Narwal, B.; Mohapatra, A.K.; Usmani, K.A.: Towards a taxonomy of cyber threats against target applications. J. Stat. Manage. Syst. 22(2), 301–325 (2019). https://doi.org/10.1080/09720510.2019.1580907

    Article  Google Scholar 

  58. Narwal, B.: Security analysis and verification of authenticated mobile payment protocols. In: 2019 4th International Conference on Information Systems and Computer Networks (ISCON), pp. 202–207 (2019). https://doi.org/10.1109/ISCON47742.2019.9036151

  59. Dhawan, S.; Shah, S.; Narwal, B.: A walkthrough of blockchain technology and its potential applications. In: Batra, U., Roy, N., Panda, B. (eds.) Data Science and Analytics. REDSET 2019. Communications in Computer and Information Science, vol. 1230. Springer, Singapore (2020). https://doi.org/10.1007/978-981-15-5830-6_2

    Chapter  Google Scholar 

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Authors and Affiliations

  1. IT Department, Indira Gandhi Delhi Technical University for Women, Delhi, India

    Bhawna Narwal & Amar Kumar Mohapatra

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  1. Bhawna Narwal
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  2. Amar Kumar Mohapatra
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Correspondence to Bhawna Narwal.

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Narwal, B., Mohapatra, A.K. SAMAKA: Secure and Anonymous Mutual Authentication and Key Agreement Scheme for Wireless Body Area Networks. Arab J Sci Eng 46, 9197–9219 (2021). https://doi.org/10.1007/s13369-021-05707-3

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