Performance Analysis of Twofish Cryptography Algorithm in Big Data

Abstract

Information security in big data plays a vital role in today's modern era of computing. It has become significant issue due to the popularity of Internet, free access of internet and data, online businesses, and communication technologies that have been emerged tremendously, making them a potential computer security threats. In order to overcome these threats, modern data communication uses cryptography as a technique to secure big data transmission efficiently and effectively. This paper aims to demonstrate the process of encryption and decryption of different big datasets and compare its results in terms of message size and time. There are seven (7) different big data files that have been loaded in a Java Netbeans twosifh algorithm program that includes app store, interactions train, border crossing, PP users, PP recipes, raw recipes and raw interactions for simulation purposes. The main purpose of simulation is to record the accuracy and efficiency of big data files used. The results of the simulation were recorded, compared, and analyzed to create valuable contribution to information security.