Title :
USign — A security enhanced electronic consent model
Author :
Yanyan Li ; Mengjun Xie ; Jiang Bian
Author_Institution :
Univ. of Arkansas at Little Rock, Little Rock, AR, USA
Abstract :
Electronic consent becomes increasingly popular in the healthcare sector given the many benefits it provides. However, security concerns, e.g., how to verify the identity of a person who is remotely accessing the electronic consent system in a secure and user-friendly manner, also arise along with the popularity of electronic consent. Unfortunately, existing electronic consent systems do not pay sufficient attention to those issues. They mainly rely on conventional password based authentication to verify the identity of an electronic consent user, which is far from being sufficient given that identity theft threat is real and significant in reality. In this paper, we present a security enhanced electronic consent model called USign. USign enhances the identity protection and authentication for electronic consent systems by leveraging handwritten signatures everyone is familiar with and mobile computing technologies that are becoming ubiquitous. We developed a prototype of USign and conducted preliminary evaluation on accuracy and usability of signature verification. Our experimental results show the feasibility of the proposed model.
Keywords :
cryptographic protocols; handwriting recognition; medical computing; mobile computing; USign; electronic consent systems; handwritten signatures; identity protection; mobile computing technology; security enhanced electronic consent model; signature verification; Accuracy; Authentication; Forgery; Prototypes; Usability;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
DOI :
10.1109/EMBC.2014.6944620