An Anonymous Mutual Authenticated Key Agreement Scheme for Wearable Sensors in Wireless Body Area Networks
Source abstract
Abstract
The advancement of Wireless Body Area Networks (WBAN) have led to significant progress in medical and health care systems. However, such networks still suffer from major security and privacy threats, especially for the data collected in medical or health care applications. Lack of security and existence of anonymous communication in WBAN brings about the operation failure of these networks. Recently, Li et al. proposed a lightweight protocol for wearable sensors in wireless body area networks. In their paper, the authors claimed that the protocol may provide anonymous mutual authentication and resist against various types of attacks. This study shows that such a protocol is still vulnerable to three types of attacks, i.e., the offline identity guessing attack, the sensor node impersonation attack and the hub node spoofing attack. We then present a secure scheme that addresses these problems, and retains similar efficiency in wireless sensors nodes and mobile phones.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: User Authentication and Security Systems · Advanced Authentication Protocols Security · Wireless Body Area Networks
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China
Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou 350118, China
National Demonstration Center for Experimental Electronic Information and Electrical Technology Education, Fujian University of Technology, Fuzhou 350118, China
Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong, China
Funding
TO BE Supplied
References (26)
Show source-provided references
1. Electrocardiographic Monitoring for Detecting Atrial Fibrillation After Ischemic Stroke or Transient Ischemic Attack10.1161/CIRCEP.114.002521 ↗
2. Clinical guideline for the evaluation, management and long-term care of obstructive sleep apnea in adults10.5664/jcsm.27497 ↗
3. Toorani, M. (2015, January 26–30). On Vulnerabilities of the Security Association in the IEEE 802.15.6 Standard. Proceedings of the Financial Cryptography and Data Security: FC 2015 International Workshops, BITCOIN, WAHC, and Wearable, San Juan, Puerto Rico.10.1007/978-3-662-48051-9_18 ↗
4. Anonymous mutual authentication and key agreement scheme for wearable sensors in wireless body area networks10.1016/j.comnet.2017.03.013 ↗
5. Kaufman, C., Hoffman, P., Nir, Y., and Eronen, P. (2010). Internet Key Exchange Protocol Version 2 IKEv2, IETF. RFC 5996, RFC Editor.10.17487/rfc5996 ↗
6. On the security of a new ultra-lightweight authentication protocol in IoT environment for RFID tags
7. On the anonymity of two-factor authentication schemes for wireless sensor networks: Attacks, principle and solutions10.1016/j.comnet.2014.07.010 ↗
8. Keoh, S.L., Lupu, E., and Sloman, M. (2009, January 9–13). Securing body sensor networks: Sensor association and key management. Proceedings of the 2009 IEEE International Conference on Pervasive Computing and Communications, PerCom 2009, Galveston, TX, USA.10.1109/PERCOM.2009.4912756 ↗
9. Liu, J., and Kwak, K.S. (2010, January 16–18). Hybrid security mechanisms for wireless body area networks. Proceedings of the 2010 Second International Conference on Ubiquitous and Future Networks (ICUFN), Jeju, Korea.
10. Certificateless remote anonymous authentication schemes for wirelessbody area networks10.1109/TPDS.2013.145 ↗
11. An efficient anonymous authentication scheme for wireless body area networks using elliptic curve cryptosystem10.1007/s10916-014-0013-5 ↗
12. Efficient and anonymous authentication scheme for wireless body area networks10.1007/s10916-016-0491-8 ↗
13. Xiong, X., Wong, D.S., and Deng, X. (2010, January 18–21). TinyPairing: A Fast and Lightweight Pairing-Based Cryptographic Library for Wireless Sensor Networks. Proceedings of the 2010 IEEE Wireless Communication and Networking Conference, Sydney, NSW, Australia.10.1109/WCNC.2010.5506580 ↗
14. Cloud-aided lightweight certificateless authentication protocol with anonymity for wireless body area networks10.1016/j.jnca.2018.01.003 ↗
15. PSKA: Usable and secure key agreement scheme for body area networks10.1109/TITB.2009.2037617 ↗
16. ECG-cryptography and authentication in body area networks10.1109/TITB.2012.2206115 ↗
17. Shi, L., Yuan, J., Yu, S., and Li, M. (2013, January 17–19). ASK-BAN: Authenticated secret key extraction utilizing channel characteristics for body area networks. Proceedings of the Sixth ACM Conference on Security and Privacy in Wireless and Mobile Networks, Budapest, Hungary.10.1145/2462096.2462123 ↗
18. A secure authentication scheme for Internet of Things10.1016/j.pmcj.2017.09.004 ↗
19. Lightweight three-factor authentication and key agreement protocol for internet-integrated wireless sensor networks10.1109/ACCESS.2017.2673239 ↗
20. An improved and provably secure privacy preserving authentication protocol for SIP10.1007/s12083-015-0400-9 ↗
21. An efficient authentication and key agreement scheme for multi-gateway wireless sensor networks in IoT deployment10.1016/j.jnca.2016.12.008 ↗
22. Abbasinezhad-Mood, D., and Nikooghadam, M. (2018). Efficient anonymous password-authenticated key exchange protocol to read isolated smart meters by utilization of extended chebyshev chaotic maps. IEEE Trans. Ind. Inform.10.1109/TII.2018.2806974 ↗
23. Design and hardware implementation of a security-enhanced elliptic curve cryptography based lightweight authentication scheme for smart grid communications10.1016/j.future.2018.02.034 ↗
24. Panait, C., and Dragomir, D. (2015, January 13–16). Measuring the performance and energy consumption of AES in wireless sensor networks. Proceedings of the 2015 Federated Conference on Computer Science and Information Systems (FedCSIS), Lodz, Poland.10.15439/2015F322 ↗
25. Koschuch, M., Hudler, M., and Saffer, Z. (2013, January 29–31). Towards algorithm agility for wireless sensor networks: Comparison of the portability of selected Hash functions. Proceedings of the 2013 International Conference on Data Communication Networking (DCNET), Reykjavik, Iceland.
26. Lynn, B. (2007). On the Implementation of Pairing-Based Cryptosystems. [Ph.D. Thesis, Stanford University Stanford].