Applying the CBB20 algorithm for twitter analyzed data

Abstract

Abstract Today’s world has data raised from social media like Facebook and Twitter. In this media used to tweet any topics in the internet world, and to analyze neutral, negative and positive tweets; and to create polarity score. From this score used to predict the opportunity. In this polarity data’s have less security. This data will be hacked easily, and change the data results will make issues, like touching the county financial and product firms. To handle these issues, D.J. Bernstein proposed the family of Salsa that has quicker encryption process; it has ovolo process with better data security. This paper introduced a new methodology is proposed. This methodology has altering the Salsa20/4 to improve the security of the analyzed data. A novel methodology consists of three processes. The 1st process is column operation of the matrix, 2nd process is multiplication of top-secret key, and the 3rd process is shift the diagonal elements. The proposed methodology takes more time and provides inflated data security while compared to Salsa20/4.