Open AccessBlock chain based Malware Detection using Machine Learning Algorithms for IoT enabled E-Health Applications
Publication year - 2021
Publication title -
international journal for innovative engineering and management research
Language(s) - English
Resource type - Journals
ISSN - 2456-5083
DOI - 10.48047/ijiemr/v10/i11/14
Subject(s) - computer science , malware , block (permutation group theory) , internet of things , computer security , government (linguistics) , covid-19 , population , pandemic , algorithm , medicine , mathematics , linguistics , philosophy , geometry , disease , environmental health , pathology , infectious disease (medical specialty)
World is pacing in ultra-high speed with huge population along with drastic changes in the technology day-byday.This results in new era of applications, tools, and devices to make human life simpler. But theadvancements in technology and human life leads to number of problems like lack of security, privacy, healthand many more. In recent time the most dangerous problem that has been haunting the whole human race invarious continents is COVID-19 virus. There are number of assistive technologies that has been created anddeployed around the world to cope up and sustain in this pandemic situation. Now we are going to discuss oneof the mobile assistive applications which helps to reduce the spreading of this contiguous virus in our countrywhich is named as AAROGYASETU by Indian government. This is a pan India application to monitor, preventas well as analyse the spreading of covid virus around the country. The assignment follows with the pros andcons of the application along with accessibility audit of the mobile app and finally proposed solution for theproblems identified by theanalysis.