Optimizing Security in OBS: Implementation and Evaluation of Modified SHA-160 Algorithm

OBS is a technology with the potential to meet the increasing network demands. However, due to its dynamic nature, ensuring security is still a challenge. The objective of the proposed work is to tackle the vulnerabilities in OBS networks by identifying security risks and recommending improved security measures. Moreover, the proposed work introduces a methodology for a fast SHA-160 authentication algorithm. The proposed algorithm is put into effect on a COTS FPGA utilizing the Xilinx ISE 14.6 platform and a VIRTEX 7 synthesis model. The results indicate that the proposed SHA-1 design offers a better avalanche rate and faster performance compared to conventional algorithms. In conclusion, this study provides a promising solution for addressing security concerns in OBS networks.

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Published
2024-10-18
DOI
https://doi.org/10.1109/ssitcon62437.2024.10796592
Primary Topic
Machine Learning in Bioinformatics
Type
article
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article

Optimizing Security in OBS: Implementation and Evaluation of Modified SHA-160 Algorithm

A. K. P. Kovendan, A. M. Balamurugan, G D Vignesh
Machine Learning in Bioinformatics
article

Optimizing Security in OBS: Implementation and Evaluation of Modified SHA-160 Algorithm

A. K. P. Kovendan, A. M. Balamurugan, G D Vignesh
article en

Abstract

OBS is a technology with the potential to meet the increasing network demands. However, due to its dynamic nature, ensuring security is still a challenge. The objective of the proposed work is to tackle the vulnerabilities in OBS networks by identifying security risks and recommending improved security measures. Moreover, the proposed work introduces a methodology for a fast SHA-160 authentication algorithm. The proposed algorithm is put into effect on a COTS FPGA utilizing the Xilinx ISE 14.6 platform and a VIRTEX 7 synthesis model. The results indicate that the proposed SHA-1 design offers a better avalanche rate and faster performance compared to conventional algorithms. In conclusion, this study provides a promising solution for addressing security concerns in OBS networks.

St. Joseph's Institute of Technology (IN), Vellore Institute of Technology University (IN)
Openalex Percentile: Top 79%
Machine Learning in Bioinformatics
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Optimizing Security in OBS: Implementation and Evaluation of Modified SHA-160 Algorithm — A. K. P. Kovendan, A. M. Balamurugan, et al. · (2024) | TGRS Research Map | TGRS