{"title":"DBAC-DSR-BT:基于区块链技术的安全可靠的深度语音识别分布式生物识别访问控制方案","authors":"Oussama Mounnan , Larbi Boubchir , Otman Manad , Abdelkrim El Mouatasim , Boubaker Daachi","doi":"10.1016/j.csi.2024.103929","DOIUrl":null,"url":null,"abstract":"<div><div>Speech recognition systems have been widely employed in several fields including biometric access control. In such systems, handling sensitive data represents a real threat and risk to security and privacy, namely in the central environment. This paper proposes an innovative solution that integrates speech recognition power as a biometric modality with the decentralized and tamper-resistant nature of blockchain technology aims at designing, implementing, and evaluating an access control system that not only leverages the unique characteristics of speech recognition through the AutoEncoding Generative Adversarial Network (AE-GAN) model for user authentication but also ensures the enforcement of access policies and voice templates storage through two distinct Smart Contracts. The first smart contract aims at storing the ID of encrypted templates matched to the hash of the public address and encrypted attributes. While the second smart contract incorporates the security policy and takes charge of generating an access token if the conditions have been satisfied. Which makes it easier to upgrade specific components without affecting the entire system. Moreover, this architecture delegates the extraction features, conversion into template, encryption, and similarity calculation functions of encrypted templates using homomorphic encryption to an API to provide more security, privacy, scalability and interoperability and reduce the overhead within the blockchain. This API interacts with the smart contract using Oracle services that ensure the interaction between on-chain and off-chain, which provide a reliable, fine-grained, and robust scheme. The simulation of this proposed scheme proves its robustness, efficiency, and performance in terms of security, reliability, and resistance to several attacks.</div></div>","PeriodicalId":50635,"journal":{"name":"Computer Standards & Interfaces","volume":"92 ","pages":"Article 103929"},"PeriodicalIF":4.1000,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"DBAC-DSR-BT: A secure and reliable deep speech recognition based-distributed biometric access control scheme over blockchain technology\",\"authors\":\"Oussama Mounnan , Larbi Boubchir , Otman Manad , Abdelkrim El Mouatasim , Boubaker Daachi\",\"doi\":\"10.1016/j.csi.2024.103929\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Speech recognition systems have been widely employed in several fields including biometric access control. In such systems, handling sensitive data represents a real threat and risk to security and privacy, namely in the central environment. This paper proposes an innovative solution that integrates speech recognition power as a biometric modality with the decentralized and tamper-resistant nature of blockchain technology aims at designing, implementing, and evaluating an access control system that not only leverages the unique characteristics of speech recognition through the AutoEncoding Generative Adversarial Network (AE-GAN) model for user authentication but also ensures the enforcement of access policies and voice templates storage through two distinct Smart Contracts. The first smart contract aims at storing the ID of encrypted templates matched to the hash of the public address and encrypted attributes. While the second smart contract incorporates the security policy and takes charge of generating an access token if the conditions have been satisfied. Which makes it easier to upgrade specific components without affecting the entire system. Moreover, this architecture delegates the extraction features, conversion into template, encryption, and similarity calculation functions of encrypted templates using homomorphic encryption to an API to provide more security, privacy, scalability and interoperability and reduce the overhead within the blockchain. This API interacts with the smart contract using Oracle services that ensure the interaction between on-chain and off-chain, which provide a reliable, fine-grained, and robust scheme. The simulation of this proposed scheme proves its robustness, efficiency, and performance in terms of security, reliability, and resistance to several attacks.</div></div>\",\"PeriodicalId\":50635,\"journal\":{\"name\":\"Computer Standards & Interfaces\",\"volume\":\"92 \",\"pages\":\"Article 103929\"},\"PeriodicalIF\":4.1000,\"publicationDate\":\"2024-09-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computer Standards & Interfaces\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0920548924000989\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer Standards & Interfaces","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0920548924000989","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
DBAC-DSR-BT: A secure and reliable deep speech recognition based-distributed biometric access control scheme over blockchain technology
Speech recognition systems have been widely employed in several fields including biometric access control. In such systems, handling sensitive data represents a real threat and risk to security and privacy, namely in the central environment. This paper proposes an innovative solution that integrates speech recognition power as a biometric modality with the decentralized and tamper-resistant nature of blockchain technology aims at designing, implementing, and evaluating an access control system that not only leverages the unique characteristics of speech recognition through the AutoEncoding Generative Adversarial Network (AE-GAN) model for user authentication but also ensures the enforcement of access policies and voice templates storage through two distinct Smart Contracts. The first smart contract aims at storing the ID of encrypted templates matched to the hash of the public address and encrypted attributes. While the second smart contract incorporates the security policy and takes charge of generating an access token if the conditions have been satisfied. Which makes it easier to upgrade specific components without affecting the entire system. Moreover, this architecture delegates the extraction features, conversion into template, encryption, and similarity calculation functions of encrypted templates using homomorphic encryption to an API to provide more security, privacy, scalability and interoperability and reduce the overhead within the blockchain. This API interacts with the smart contract using Oracle services that ensure the interaction between on-chain and off-chain, which provide a reliable, fine-grained, and robust scheme. The simulation of this proposed scheme proves its robustness, efficiency, and performance in terms of security, reliability, and resistance to several attacks.
期刊介绍:
The quality of software, well-defined interfaces (hardware and software), the process of digitalisation, and accepted standards in these fields are essential for building and exploiting complex computing, communication, multimedia and measuring systems. Standards can simplify the design and construction of individual hardware and software components and help to ensure satisfactory interworking.
Computer Standards & Interfaces is an international journal dealing specifically with these topics.
The journal
• Provides information about activities and progress on the definition of computer standards, software quality, interfaces and methods, at national, European and international levels
• Publishes critical comments on standards and standards activities
• Disseminates user''s experiences and case studies in the application and exploitation of established or emerging standards, interfaces and methods
• Offers a forum for discussion on actual projects, standards, interfaces and methods by recognised experts
• Stimulates relevant research by providing a specialised refereed medium.