PKI security in large-scale healthcare networks

During the past few years a lot of PKI (Public Key Infrastructures) infrastructures have been proposed for healthcare networks in order to ensure secure communication services and exchange of data among healthcare professionals. However, there is a plethora of challenges in these healthcare PKI infrastructures. Especially, there are a lot of challenges for PKI infrastructures deployed over large-scale healthcare networks. In this paper, we propose a PKI infrastructure to ensure security in a large-scale Internet-based healthcare network connecting a wide spectrum of healthcare units geographically distributed within a wide region. Furthermore, the proposed PKI infrastructure facilitates the trust issues that arise in a large-scale healthcare network including multi-domain PKI infrastructures

Calculating and Evaluating Trustworthiness of Certification Authority

In  a  public  key  infrastructure  trust  model,  a  trust  is transferred along a set of certificates, issued by certificate authorities (CAs) considered  as  trustfully  third  parties,  providing  a  trust chain among  its  entities.  In  order  to  deserve  this trustworthiness,  a  CA should to apply the rigorous procedures for generating keys, checking the  identities,  and  following  reliable  security  practices.  Any deficiency in  these procedures  may in?uence its trustworthiness.  In this  context,  some  authorities  could  be  weaker  than  others.  Then, relying parties (RPs) and certificate holders (CHs) need a mechanism to evaluate CA trustworthiness. In this paper, we provide them this mechanism to have information about its trustworthiness. In fact, we propose  a  trust  level  calculation  algorithm  that  is  based  on  three parameters  which  are  the  CA  reputation,  the  quality  of  procedures described in the certi?cate policy and its security maturity level

Securely sharing dynamic medical information in e-health

This thesis has introduced an infrastructure to share dynamic medical data between mixed health care providers in a secure way, which could benefit the health care system as a whole. The study results of the universally data sharing into a varied patient information system prototypes