So far, in cloud computing lots of services are consumed by the distinct clients. However, cloud is providing all kind of services (everything as a service - Xaas) to its dependent users. Still, there will be efficient security procedures and parameters are needed in the client end. Cloud service providers are offering the service with proper security perimeter control. After receiving the service from the CSP, users are losing the security control over their confidential data. So, protecting the user secret data is essential. The proposed approach will be used for securing the data by authenticating the registered user through the fuzzy associative memory (FAM) technique. This approach mainly focuses on one / two dimensional data access point might be considered for user authenticity computational process in order to increase the performance level of data security. This can be achieved by using the green cloud simulator tool in cloud environment.
| Published in | American Journal of Data Mining and Knowledge Discovery (Volume 1, Issue 1) |
| DOI | 10.11648/j.ajdmkd.20160101.11 |
| Page(s) | 1-6 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Cloud Vendor, Fuzzy Associative Memory (FAM), Cloud Service Provider (CSP), Cloud Clients, Data Security and Green Cloud Sim
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APA Style
R. Poorvadevi, S. Rajalakshmi. (2016). A Scheme for Improving the Performance of User Authenticity Through Client Validation Process Using Fuzzy Associative Memory (FAM) in Cloud Computing. American Journal of Data Mining and Knowledge Discovery, 1(1), 1-6. https://doi.org/10.11648/j.ajdmkd.20160101.11
ACS Style
R. Poorvadevi; S. Rajalakshmi. A Scheme for Improving the Performance of User Authenticity Through Client Validation Process Using Fuzzy Associative Memory (FAM) in Cloud Computing. Am. J. Data Min. Knowl. Discov. 2016, 1(1), 1-6. doi: 10.11648/j.ajdmkd.20160101.11
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Download@article{10.11648/j.ajdmkd.20160101.11,
author = {R. Poorvadevi and S. Rajalakshmi},
title = {A Scheme for Improving the Performance of User Authenticity Through Client Validation Process Using Fuzzy Associative Memory (FAM) in Cloud Computing},
journal = {American Journal of Data Mining and Knowledge Discovery},
volume = {1},
number = {1},
pages = {1-6},
doi = {10.11648/j.ajdmkd.20160101.11},
url = {https://doi.org/10.11648/j.ajdmkd.20160101.11},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajdmkd.20160101.11},
abstract = {So far, in cloud computing lots of services are consumed by the distinct clients. However, cloud is providing all kind of services (everything as a service - Xaas) to its dependent users. Still, there will be efficient security procedures and parameters are needed in the client end. Cloud service providers are offering the service with proper security perimeter control. After receiving the service from the CSP, users are losing the security control over their confidential data. So, protecting the user secret data is essential. The proposed approach will be used for securing the data by authenticating the registered user through the fuzzy associative memory (FAM) technique. This approach mainly focuses on one / two dimensional data access point might be considered for user authenticity computational process in order to increase the performance level of data security. This can be achieved by using the green cloud simulator tool in cloud environment.},
year = {2016}
}
TY - JOUR T1 - A Scheme for Improving the Performance of User Authenticity Through Client Validation Process Using Fuzzy Associative Memory (FAM) in Cloud Computing AU - R. Poorvadevi AU - S. Rajalakshmi Y1 - 2016/12/17 PY - 2016 N1 - https://doi.org/10.11648/j.ajdmkd.20160101.11 DO - 10.11648/j.ajdmkd.20160101.11 T2 - American Journal of Data Mining and Knowledge Discovery JF - American Journal of Data Mining and Knowledge Discovery JO - American Journal of Data Mining and Knowledge Discovery SP - 1 EP - 6 PB - Science Publishing Group SN - 2578-7837 UR - https://doi.org/10.11648/j.ajdmkd.20160101.11 AB - So far, in cloud computing lots of services are consumed by the distinct clients. However, cloud is providing all kind of services (everything as a service - Xaas) to its dependent users. Still, there will be efficient security procedures and parameters are needed in the client end. Cloud service providers are offering the service with proper security perimeter control. After receiving the service from the CSP, users are losing the security control over their confidential data. So, protecting the user secret data is essential. The proposed approach will be used for securing the data by authenticating the registered user through the fuzzy associative memory (FAM) technique. This approach mainly focuses on one / two dimensional data access point might be considered for user authenticity computational process in order to increase the performance level of data security. This can be achieved by using the green cloud simulator tool in cloud environment. VL - 1 IS - 1 ER -
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