{"title":"Security of an Audio using Multiple Watermarking","authors":"Amita Singha, M. A. Ullah","doi":"10.1109/ECCE57851.2023.10101632","DOIUrl":null,"url":null,"abstract":"This article presents an audio watermarking technique. The proposed technique can ensure the security of audio by using multiple images as watermarks as it is comparatively difficult to remove more than one watermark. Therefore, the originality of the audio signal can be ensured to a significant level. This technique is developed by the modified use of discrete wavelet transform (DWT) and singular value decomposition (SVD). By that modification, the whole energy spectrum of the watermarks is utilized. By doing so, the watermarks are inserted in parts in various regions of the host audio that will make the removal of the mark images difficult and the modified use of SVD, as well as DWT, ensures the creation of those different regions. The robustness of the technique is tested against some real-life scenarios.","PeriodicalId":131537,"journal":{"name":"2023 International Conference on Electrical, Computer and Communication Engineering (ECCE)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Electrical, Computer and Communication Engineering (ECCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ECCE57851.2023.10101632","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This article presents an audio watermarking technique. The proposed technique can ensure the security of audio by using multiple images as watermarks as it is comparatively difficult to remove more than one watermark. Therefore, the originality of the audio signal can be ensured to a significant level. This technique is developed by the modified use of discrete wavelet transform (DWT) and singular value decomposition (SVD). By that modification, the whole energy spectrum of the watermarks is utilized. By doing so, the watermarks are inserted in parts in various regions of the host audio that will make the removal of the mark images difficult and the modified use of SVD, as well as DWT, ensures the creation of those different regions. The robustness of the technique is tested against some real-life scenarios.