REISCH: incorporating lightweight and reliable algorithms into healthcare applications of WSNs
Article
Article Title | REISCH: incorporating lightweight and reliable algorithms into healthcare applications of WSNs |
---|---|
ERA Journal ID | 211776 |
Article Category | Article |
Authors | Al-Zubaidie, Mishall (Author), Zhang, Zhongwei (Author) and Zhang, Ji (Author) |
Journal Title | Applied Sciences |
Journal Citation | 10 (6), pp. 1-36 |
Article Number | 2007 |
Number of Pages | 36 |
Year | 2020 |
Publisher | MDPI AG |
Place of Publication | Switzerland |
ISSN | 2076-3417 |
Digital Object Identifier (DOI) | https://doi.org/10.3390/app10062007 |
Web Address (URL) | https://www.mdpi.com/2076-3417/10/6/2007 |
Abstract | Healthcare institutions require advanced technology to collect patients' data accurately and continuously. The tradition technologies still suffer from two problems: performance and security efficiency. The existing research has serious drawbacks when using public-key mechanisms such as digital signature algorithms. In this paper, we propose Reliable and Efficient Integrity Scheme for Data Collection in HWSN (REISCH) to alleviate these problems by using secure and lightweight signature algorithms. The results of the performance analysis indicate that our scheme provides high efficiency in data integration between sensors and server (saves more than 24% of alive sensors compared to traditional algorithms). Additionally, we use Automated Validation of Internet Security Protocols and Applications (AVISPA) to validate the security procedures in our scheme. Security analysis results confirm that REISCH is safe against some well-known attacks. |
Keywords | ECDSA, healthcare, homomorphic, integrity, pseudonym, WSN |
ANZSRC Field of Research 2020 | 400602. Data communications |
400604. Network engineering | |
460499. Cybersecurity and privacy not elsewhere classified | |
400608. Wireless communication systems and technologies (incl. microwave and millimetrewave) | |
Byline Affiliations | School of Sciences |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q5qx4/reisch-incorporating-lightweight-and-reliable-algorithms-into-healthcare-applications-of-wsns
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