Publication Type
Journal Article
Version
publishedVersion
Publication Date
12-2023
Abstract
Digital microfluidic, as an emerging and potential technology, diversifies the biochemical applications platform, such as protein dilution sewage detection. At present, a vast majority of universal cyberphysical digital microfluidic biochips (DMFBs) transmit data through wires via personal computers and microcontrollers (like Arduino), consequently, susceptible to various security threats and with the popularity of wireless devices, losing competitiveness gradually. On the premise that security be ensured first and foremost, calls for wireless portable, safe, and economical DMFBs are imperative to expand their application fields, engage more users, and cater to the trend of future wireless communication. To this end, a new cyber-physical DMFB called PortableLab is proposed in this paper, which guarantees data security through wireless sensors at low cost. After considering the security, computing consumption, and cost, a mobile module is added. In addition, the improved Advanced Encryption Standard (AES) and Cyclic Redundancy Check (CRC) algorithms are utilized to ensure the integrity and confidentiality of data transmission. Ultimately, all the security analysis, cost analysis, and experimental results on multiple protocols demonstrate the feasibility of the proposed PortableLab DMFB in time and space.
Keywords
DMFB, security, wireless, mobile, low-cost, healthcare
Discipline
Artificial Intelligence and Robotics | Health Information Technology | Software Engineering
Publication
IEEE Access
Volume
11
First Page
137990
Last Page
137998
ISSN
2169-3536
Identifier
10.1109/ACCESS.2023.3339386
Publisher
Institute of Electrical and Electronics Engineers
Citation
YAO, Yinan; QIU, Decheng; LIU, Huangda; YANG, Zhongliao; LIU, Ximeng; YANG, Yang; and DONG, Chen.
A reliable and secure mobile cyber-physical digital microfluidic biochip for intelligent healthcare. (2023). IEEE Access. 11, 137990-137998.
Available at: https://ink.library.smu.edu.sg/sis_research/8620
Copyright Owner and License
Authors-CC-BY
Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.
Additional URL
https://doi.org/10.1109/ACCESS.2023.3339386
Included in
Artificial Intelligence and Robotics Commons, Health Information Technology Commons, Software Engineering Commons