Novel Lagrange interpolation polynomials for dynamic access control in a healthcare cloud system

Author:

Chiang Te-Wei1,Chiang Dai-Lun2,Chen Tzer-Shyong3,Lin Frank Yeong-Sung4,Shen Victor R. L.45,Wang Min-Chien3

Affiliation:

1. Department of Information Management, National Taiwan University, Taipei City 106, Taiwan

2. Financial Technology Applications Program, Ming Chuan University, Taoyuan City 330, Taiwan

3. Department of Information Management, Tunghai University, Taichung City 407, Taiwan

4. Department of Computer Science and Information Engineering, National Taipei University, Sanxia District, New Taipei City 237, Taiwan

5. Department of Information Management, Chaoyang University of Technology, 168 Jifeng E. Rd., Wufeng District, Taichung City 413, Taiwan

Abstract

<abstract> <p>The authority of user personal health records (PHRs) is usually determined by the owner of a cloud computing system. When a PHR file is accessed, a dynamic access control algorithm must be used to authenticate the users. The proposed dynamic access control algorithm is based on a novel Lagrange interpolation polynomial with timestamps, mainly functioning to authenticate the users with key information. Moreover, the inclusion of timestamps allows user access within an approved time slot to enhance the security of the healthcare cloud system. According to the security analysis results, this healthcare cloud system can effectively resist common attacks, including external attacks, internal attacks, collaborative attacks and equation-based attacks. Furthermore, the overall computational complexity of establishing and updating the polynomials is O(<italic>n</italic>*<italic>m</italic>* (log <italic>m</italic>)<sup>2</sup>), which is a promising result, where <italic>m</italic> denotes the degree of $ polynomial~G\left(x, y\right) $ and <italic>n</italic> denotes the number of secure users in the hierarchy.</p> </abstract>

Publisher

American Institute of Mathematical Sciences (AIMS)

Subject

Applied Mathematics,Computational Mathematics,General Agricultural and Biological Sciences,Modeling and Simulation,General Medicine

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