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28-03-2018 | Special Issue 2/2019

Cluster Computing 2/2019

Secure and optimal authentication framework for cloud management using HGAPSO algorithm

Journal:
Cluster Computing > Special Issue 2/2019
Authors:
P. Selvarani, A. Suresh, N. Malarvizhi

Abstract

Data security is the major problem in cloud computing. To overcome this problem in the existing work Password can be used as a key to encrypt and decrypt the data in cloud environment. Some of the limitations having Password system because it is not secured, and easily forgotten. In order to overcome these problems the proposed technique utilizes effective data storage using biometric-based authentication to support the user authentication for the cloud environment. For user authentication here we are considering iris and fingerprint. Initially the feature values are extracted from the iris and fingerprint using local binary pattern. In order to improve the security Extracting the feature value of fingerprint and iris and it is given input to the hybrid Genetic Algorithm and Particle swarm optimization algorithm to find the best solution using Cross over mutation technique. Best solution value can be act as a key for encrypting and decrypting data using Triple Data Encryption Standard Algorithm. Finally encrypted data can be stored in cloud using cloud simulator in the Working platform of net beans in java. Finally randomly tested with 5 fingerprint and 5 Iris image for the purpose of man in the middle attack. After tested with fingerprint and iris proposed Hybrid Genetic algorithm with Particle swarm optimization algorithm having less attack compared with the existing Particle swarm optimization algorithm. So the intruder cannot be able to access the data in cloud environment.

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