Performance Analysis of Encryption Algorithms with Pat-Fish for Cloud Storage Security

摘要

In the era of the Cloud, a remote user connected from anywhere, anytime is provided with any form of access to the storage services. Internet of things is growing rapidly in all aspects and Cloud storage has become an essential aspect in the day to day life. Data Science and Big data analytics, and other technologies use the smart devices like personal Laptop, tablet and smartphone and enterprises are interested to store data and the transactions in Cloud data centres. However, cloud storage needs a secured transaction and authentication system. Cloud service providers need to provide high security at their storage level. Our approach combines Blowfish algorithm and Pattern matching to secure the data in cloud data storage. Pattern matching algorithm is the best algorithm in terms of time complexity and space complexity. Blowfish algorithm is a 16-round Fiestal algorithm, which is used to encrypt and decrypt the input files. This paper evaluates the hybrid Pat-Fish algorithm with DES, RSA, and Blowfish methods on text files. The standard evaluation parameters namely encryption time and decryption time are taken for performance comparison. This Pat-Fish approach yields less time for encryption and decryption compared to DES, RSA and Blowfish algorithms. This method is suitable for cloud storage to store the client data with security.