School of Information Science and Technology

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Author: search.filters.author.Mugauri, CalvinEnd date: 2018

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    A Survey on Applications of Internet of Things in Healthcare Domain
    (Research Journal of Pharmacy and Technology, 2017-08-05) Mugauri, Calvin; Aravind., K; Deshmukh, Apurva; Fulrani, Vhansure; Kavitha., B. R
    Internet of Things (IoT) in healthcare has gained tremendous appreciation as it has already improved the lives of millions of people worldwide. With the use of sensing devices, collecting data from different environments, devices, and equipment is now possible and appropriate decisions can be taken. Collected data is transferred over the network or internet and is able to be stored on the cloud or physical servers for analysis and future references. IoT has revolutionized the healthcare such that patients can be treated and monitored at the comfort of their homes without visiting the hospital.
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    Sentiment analysis of feature ranking methods for classification accuracy
    (IOP Conference Series: Materials Science and Engineering., 2017-01-01) Shashank, Joseph; Mugauri, Calvin; Sumathy., S
    Text pre-processing and feature selection are important and critical steps in text mining. Text pre-processing of large volumes of datasets is a difficult task as unstructured raw data is converted into structured format. Traditional methods of processing and weighing took much time and were less accurate. To overcome this challenge, feature ranking techniques have been devised. A feature set from text preprocessing is fed as input for feature selection. Feature selection helps improve text classification accuracy. Of the three feature selection categories available, the filter category will be the focus. Five feature ranking methods namely: document frequency, standard deviation information gain, CHISQUARE, and weighted-log likelihood –ratio is analyzed.
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    ACCESS CONTROL USING ATTRIBUTE BASED ENCRYPTION IN CLOUD COMPUTING: A SURVEY
    (/International Journal of Pharmacy & Technology, 2016-11-02) Shashank, Joseph; Mugauri, Calvin; Anilkumar, Chunduru; Sumathy., S
    An efficient way of ensuring data security in the cloud is via access control which has however proven to be a challenge due to data outsourcing and entrusted cloud servers in cloud storage. Cloud storage systems are no longer trustworthy because they either produce several encrypted copies of the same data or require a fully trusted cloud server. Weighted attribute based encryption (WABE) is a capable technique for access control of encrypted data. Access of data in cloud should be strongly protected. The survey focuses to recognize the challenges faced in securing data and suggest solutions that allow organizations to benefit from hosting data in the cloud. They as well support fine grained and stretchy access control of shared data hosted in the cloud. Information about privacy and security issues with regard to storage of data in the cloud and access via the internet has been a great concern for many organizations in present day.