An Efficient and Secure Authentication for Ambient Assisted Living System

Authors

  • Myung-Kyu Yi College of IT Convergence, Gachon University, 13120, South Korea https://orcid.org/0000-0002-2360-4523
  • Taeg-Keun Whangbo College of IT Convergence, Gachon University, 13120, South Korea

DOI:

https://doi.org/10.13052/jwe1540-9589.2136

Keywords:

Web Security and Privacy, Wearable Computing, Ambient Assisted Living, healthcare, AAL

Abstract

Although the birthrate is declining, the average life expectancy continues to increase. Therefore, it is more important for elderly people to maintain their independence while staying at home. Ambient Assisted Living (AAL) includes the use of devices and methods of ensuring that elderly people can stay safe and age at home rather than at a facility. Assisted living services help people live as independently and safely as possible when they can no longer perform everyday activities on their own. Because the information transmitted in AAL systems is personal, the security and privacy of such data are becoming important issues that must be addressed. Herein, we propose an efficient and secure authentication scheme for an AAL system. Our proposed authentication scheme not only satisfies several important security requirements of such a system but also withstands various types of attacks. Moreover, the proposed authentication scheme achieves lightweight performance by manipulating basic cryptographic operations including bitwise-eXclusive-OR (XOR) and hash functions. We simulated our proposed authentication scheme using Automated Validation of Internet Security Protocols and Applications (AVISPA), which is a prominent security verification tool. Security and performance analysis show that our proposed scheme is not only robust against several attacks and has a lower computational cost in terms of execution time than those of existing authentication schemes.

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Author Biographies

Myung-Kyu Yi, College of IT Convergence, Gachon University, 13120, South Korea

Myung-Kyu Yi. He received the Ph.D. degree in Computer Science and Engineering from Korea University in 2005. He is currently an Research Professor with Gachon University. His research interests include heathcare, security, machine learning and deep learning, human activity recognition.

Taeg-Keun Whangbo, College of IT Convergence, Gachon University, 13120, South Korea

Taeg-Keun Whangbo received the M.S. degree from City University of New York in 1988 and the Ph.D. degree both in Computer Science from Stevens Institute of Technology in 1995. Currently, he is a professor in the Department of Computer Science, Gachon University, Korea. He is also the Vice President in Gachon University. Before he joined the Gachon University, he was the software developer in Q-Systems which is located in New Jersey from 1988 to 1993. He was also the researcher in Samsung Electronics from 2005 to 2007. His research areas include Computer Vision, Artificial Intelligence, Healthcare, HCI and AR/VR.

References

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Published

2022-02-22

How to Cite

Yi, M.-K. ., & Whangbo, T.-K. . (2022). An Efficient and Secure Authentication for Ambient Assisted Living System. Journal of Web Engineering, 21(03), 693–712. https://doi.org/10.13052/jwe1540-9589.2136

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Section

SPECIAL ISSUE ON Future Multimedia Contents and Technology on Web in the 5G Era