Open Access<p>Security Risk Assessment of Healthcare Web Application Through Adaptive Neuro-Fuzzy Inference System: A Design Perspective</p>
Author(s) -
Jasleen Kaur,
Asif Irshad Khan,
Yoosef B. Abushark,
Manawwer Alam,
Shahrukh Rafi Khan,
Alka Agrawal,
Rajeev Kumar,
Raees Ahmad Khan
Publication year - 2020
Publication title -
risk management and healthcare policy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.828
H-Index - 22
ISSN - 1179-1594
DOI - 10.2147/rmhp.s233706
Subject(s) - health care , computer science , adaptive neuro fuzzy inference system , web application security , computer security , web application , risk analysis (engineering) , fuzzy logic , business , the internet , fuzzy control system , web development , world wide web , artificial intelligence , economics , economic growth
The imperative need for ensuring optimal security of healthcare web applications cannot be overstated. Security practitioners are consistently working at improvising on techniques to maximise security along with the longevity of healthcare web applications. In this league, it has been observed that assessment of security risks through soft computing techniques during the development of web application can enhance the security of healthcare web applications to a great extent.