Raja shree, S. and Chilambu Chelvan, A. and Rajesh, M. (2019) An efficient RSA cryptosystem by applying cuckoo search optimization algorithm. Concurrency and Computation: Practice and Experience, 31 (12). ISSN 1532-0626
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An efficient RSA cryptosystem by applying cuckoo search optimization algorithm S. Raja shree Faculty of CSE, Department of Computer Science and Engineering Sathyabama Institute of Science and Technology Chennai India CSE, Jerusalem College of Engineering Chennai India http://orcid.org/0000-0001-5305-0923 A. Chilambu Chelvan Department of Electronics and Instrumentation Engineering R.M.D Engineering College Chennai India M. Rajesh School of maritime studies, VISTAS Chennai India Summary
Cloud computing is a promising technology that provides ubiquitous and on‐demand network access to a shared pool of configurable computing devices. However, the security is a major challenge in cloud environment due to the data sharing via the internet and data stored in the cloud. In cloud computing, there are various security issues such as confidentiality, integrity, and authentication. Among these issues, data integrity play a significant role in the cloud computing and various techniques were proposed to secure the data stored in the cloud. In this paper, an efficient RSA algorithm is proposed to overcome the data integrity problem in the cloud by applying Cuckoo Search Optimization (CSA) algorithm. In this, the encryption of data and secret key generation is done using RSA cryptosystem for securing data from unauthorized users'. In order to avoid the brutal force attack, CSA algorithm is used to optimize the encryption of the key. The simulation results demonstrate that the proposed algorithm performs faster than the conventional RSA and Data Encryption Standard (DES) algorithms. Moreover, the proposed algorithm provides better throughput while increasing the private key length of the algorithm.
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Item Type: | Article |
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Subjects: | Computer Science Engineering > Computer Network |
Divisions: | Computer Science Engineering |
Depositing User: | Mr IR Admin |
Date Deposited: | 12 Oct 2024 09:20 |
Last Modified: | 12 Oct 2024 09:20 |
URI: | https://ir.vistas.ac.in/id/eprint/9767 |