A Novel Time Efficient Approach to Enhance Security of Text Data in CSV file format on Cloud Environment

Abstract

Now a day’s huge amount of data is generated via various media like mobile phone, books, internet, satellite data etc. To handle this kind of big data is very difficult task for any organization. To work with cloud computing for handling big data is one of the good solutions. These both technologies big data and cloud computing work together and can give number of benefits to users like providing amenity available on demand, availability over the internet, comfortable management, comfortable analysis of large volume of data, cost savings etc. still we find that many companies are not using these technologies then question may arise in our mind what is the main reason behind it? There are many challenges or disadvantages with these two technologies like the various demanding situations to big records are price, statistics pleasant, fast alternate, professional guy electricity requirement, infrastructure need, shifting facts onto big information platform, want for synchronization across statistics assets and maximum essential is protection of information.. All of these challenges will not be easily solved numerous research projects are being carried out to solve these problems.  In this paper we provide information about various works done in the field of security of big data on cloud computing in the form of literature survey and ultimately we provide three different algorithms which secure simple text or csv file data.

***Throughout this paper we have used term base paper algorithm meaning that we are using reference paper [10] algorithm of Mohammad Anwar Hossain and et al.