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Enhanced and secured random number generation for eUASBP
Authentication is needed for vital applications around the world. Applications that deal with sensitive information need to be kept secret through anyone type of authentication mode. Password-based smart card authentication is a generic model of authentication. Many password-based smart card authent...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer India
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8595078/ http://dx.doi.org/10.1007/s13198-021-01408-0 |
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author | Rajaram, Sangeetha Vollala, Satyanarayana Ramasubramanian, N. Kokila, J. |
author_facet | Rajaram, Sangeetha Vollala, Satyanarayana Ramasubramanian, N. Kokila, J. |
author_sort | Rajaram, Sangeetha |
collection | PubMed |
description | Authentication is needed for vital applications around the world. Applications that deal with sensitive information need to be kept secret through anyone type of authentication mode. Password-based smart card authentication is a generic model of authentication. Many password-based smart card authentication protocols have been proposed by Sangeetha et al., Giri et al., Jia et al. , Das et al. and so on. Those protocols provide protection against many type of attacks such as offline password guessing attack, server masquerading attack, user impersonation attack, privileged insider attack, but they are open to Crypt analytic attack, Cloning attack, and Reverse engineering attack. This paper proposes an authentication protocol that is termed as hrngRO- hybrid RNG by RO-PUF and SHA-256 for eUASBP simulated using AVISPA tool. It provides Ring Oscillator PUF based random number generator using the SHA-256 hash function. This hybrid combination of RNG makes hrngRO more secure against Crypt analytic attack, Cloning attack, Reverse engineering attack and makes the system even faster. Pre Early Wrong Password Detection is supported by hrngRO using bloom filters. hrngRO provides protection against many types of attacks like other authentication protocols and it also provides additional security by avoiding the above-mentioned attacks. Security of hrngRO is tested using AVISPA tool. |
format | Online Article Text |
id | pubmed-8595078 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer India |
record_format | MEDLINE/PubMed |
spelling | pubmed-85950782021-11-17 Enhanced and secured random number generation for eUASBP Rajaram, Sangeetha Vollala, Satyanarayana Ramasubramanian, N. Kokila, J. Int J Syst Assur Eng Manag Original Article Authentication is needed for vital applications around the world. Applications that deal with sensitive information need to be kept secret through anyone type of authentication mode. Password-based smart card authentication is a generic model of authentication. Many password-based smart card authentication protocols have been proposed by Sangeetha et al., Giri et al., Jia et al. , Das et al. and so on. Those protocols provide protection against many type of attacks such as offline password guessing attack, server masquerading attack, user impersonation attack, privileged insider attack, but they are open to Crypt analytic attack, Cloning attack, and Reverse engineering attack. This paper proposes an authentication protocol that is termed as hrngRO- hybrid RNG by RO-PUF and SHA-256 for eUASBP simulated using AVISPA tool. It provides Ring Oscillator PUF based random number generator using the SHA-256 hash function. This hybrid combination of RNG makes hrngRO more secure against Crypt analytic attack, Cloning attack, Reverse engineering attack and makes the system even faster. Pre Early Wrong Password Detection is supported by hrngRO using bloom filters. hrngRO provides protection against many types of attacks like other authentication protocols and it also provides additional security by avoiding the above-mentioned attacks. Security of hrngRO is tested using AVISPA tool. Springer India 2021-11-17 2022 /pmc/articles/PMC8595078/ http://dx.doi.org/10.1007/s13198-021-01408-0 Text en © The Author(s) under exclusive licence to The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Article Rajaram, Sangeetha Vollala, Satyanarayana Ramasubramanian, N. Kokila, J. Enhanced and secured random number generation for eUASBP |
title | Enhanced and secured random number generation for eUASBP |
title_full | Enhanced and secured random number generation for eUASBP |
title_fullStr | Enhanced and secured random number generation for eUASBP |
title_full_unstemmed | Enhanced and secured random number generation for eUASBP |
title_short | Enhanced and secured random number generation for eUASBP |
title_sort | enhanced and secured random number generation for euasbp |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8595078/ http://dx.doi.org/10.1007/s13198-021-01408-0 |
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