Open AccessAn Information Secure Attribution Model for Observing Spurious Drugs in Health Care Organization
Author(s) -
Khanh H. V,
Elantamilan D.
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.b2921.129219
Subject(s) - dependability , spurious relationship , computer security , attribution , internet privacy , health care , business , computer science , medical emergency , medicine , psychology , political science , social psychology , law , software engineering , machine learning
The goal of the paper is to propose an appropriated secure provenance framework to check the dependability of the medications in the midst of misleading and fake medications. There are various Drug and Cosmetic Acts in the nation for the control of illegal medications however over 58% of the medications are not certified which requires a circulated provenance framework with high level of information security. Aside from the client mindfulness and extreme discipline for such unlawful exercises, an on request administration which will help the end client to know the starting point of the medications, the different changes during preparing and the last vendors. The safe provenance model tends to least loss of security of the pharmaceutical assembling organizations to improve the dependability of the item and furthermore the individuals. The model is actualized as a portable sending model with verified provenance against potential assaults in various health care industry particularly initiating spurious drugs with respect to various scenario