P. G, K. S, Manimuthu Ayyannan, Selvam N, B. K, Neelam Sanjeev Kumar
{"title":"基于鲁棒LSB-DWT数字水印算法的安全多模态生物识别系统","authors":"P. G, K. S, Manimuthu Ayyannan, Selvam N, B. K, Neelam Sanjeev Kumar","doi":"10.1109/ICCSC56913.2023.10142972","DOIUrl":null,"url":null,"abstract":"In contemporary year, multimedia data is transmitted and accessed through Internet. Despite of its advantages, unauthorized copying, distribution and hacking of data has created security issues. So secure transmission and access of the biometric data has to be suggested. A single biometric identification is not preferable in most highly secured areas due to their parody attacks and ageing. These limitations can be overcome by deploying this system that incorporate information from multiple sources for personnel identification. In this project multiple sources are incorporated using Digital watermarking algorithm comprising both the spatial and frequency domain approach. Even though the digital watermarking scheme is highly secured, network hackers may easily trap the image and it's key. So to increase the security, encryption and decryption of watermarked image using RSA algorithm is employed at the transmission and the reception side respectively. So the cipher text image is alone transmitted in the network increasing the security of the multimodal data. The Stillness of this proposed scheme is measured by Quality Index (QI), Similarity of the original and the recovered images for various attacks and Peak Signal to Noise Ratio (PSNR).","PeriodicalId":184366,"journal":{"name":"2023 2nd International Conference on Computational Systems and Communication (ICCSC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Secure Multimodal Biometric System Based on Robust LSB-DWT Digital Watermarking Algorithm\",\"authors\":\"P. G, K. S, Manimuthu Ayyannan, Selvam N, B. K, Neelam Sanjeev Kumar\",\"doi\":\"10.1109/ICCSC56913.2023.10142972\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In contemporary year, multimedia data is transmitted and accessed through Internet. Despite of its advantages, unauthorized copying, distribution and hacking of data has created security issues. So secure transmission and access of the biometric data has to be suggested. A single biometric identification is not preferable in most highly secured areas due to their parody attacks and ageing. These limitations can be overcome by deploying this system that incorporate information from multiple sources for personnel identification. In this project multiple sources are incorporated using Digital watermarking algorithm comprising both the spatial and frequency domain approach. Even though the digital watermarking scheme is highly secured, network hackers may easily trap the image and it's key. So to increase the security, encryption and decryption of watermarked image using RSA algorithm is employed at the transmission and the reception side respectively. So the cipher text image is alone transmitted in the network increasing the security of the multimodal data. The Stillness of this proposed scheme is measured by Quality Index (QI), Similarity of the original and the recovered images for various attacks and Peak Signal to Noise Ratio (PSNR).\",\"PeriodicalId\":184366,\"journal\":{\"name\":\"2023 2nd International Conference on Computational Systems and Communication (ICCSC)\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-03-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 2nd International Conference on Computational Systems and Communication (ICCSC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCSC56913.2023.10142972\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 2nd International Conference on Computational Systems and Communication (ICCSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSC56913.2023.10142972","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Secure Multimodal Biometric System Based on Robust LSB-DWT Digital Watermarking Algorithm
In contemporary year, multimedia data is transmitted and accessed through Internet. Despite of its advantages, unauthorized copying, distribution and hacking of data has created security issues. So secure transmission and access of the biometric data has to be suggested. A single biometric identification is not preferable in most highly secured areas due to their parody attacks and ageing. These limitations can be overcome by deploying this system that incorporate information from multiple sources for personnel identification. In this project multiple sources are incorporated using Digital watermarking algorithm comprising both the spatial and frequency domain approach. Even though the digital watermarking scheme is highly secured, network hackers may easily trap the image and it's key. So to increase the security, encryption and decryption of watermarked image using RSA algorithm is employed at the transmission and the reception side respectively. So the cipher text image is alone transmitted in the network increasing the security of the multimodal data. The Stillness of this proposed scheme is measured by Quality Index (QI), Similarity of the original and the recovered images for various attacks and Peak Signal to Noise Ratio (PSNR).