Miscegenation of scalable and DEP3K performance evaluation of nosql-cassandra for bigdata applications deployed in cloud

摘要

The huge data streams generated in the modern world are difficult to analyse using the traditional tools and techniques like relational mysql databases. The data originates in the form of audio, video, pdf files and is highly unstructured in nature. An alternative approach is to use the emerging nosql databases. However, not all nosql databases provide full extent of security. In this work, DEP3K based interfusion of security and scalability is developed, where the large collection of web data collected through web crawler is securely stored in the nosql database cassandra. DEP3K is the double encryption with personal passphrase based private key, a new methodology where the large collection of web data is securely stored and retrieved from nosql-cassandra. Performance changes are brought into consideration before and after encrypting and decrypting the voluminous data and improvement in efficiency is observed with the proposed model.