{"title":"A NTRU Lattice Edge Aggregation Scheme Based on Underwater Acoustic Communication","authors":"Chaoqun Li;Ming Xu","doi":"10.1109/JIOT.2025.3550657","DOIUrl":null,"url":null,"abstract":"With the rapid development of communication technologies in marine environments, the privacy and integrity of transmitted data have become important security issues. The security and resource consumption of existing privacy-preserving data aggregation schemes are not suitable for application to underwater acoustic communications. To address the above issues, this article proposes an NTRU lattice edge aggregation scheme based on underwater acoustic communication. Specifically, the scheme protects the data by perturbing it through edge differential privacy, and then encrypts the perturbed data using a lattice-based encryption method. In addition, it utilizes the NTRU lattice-based batch signature verification method to verify signatures in batch, which improves the verification efficiency. The pseudo-identity of nodes and timestamps are also utilized to enhance the security of the scheme. The edge computing model is utilized to reduce the high delay in underwater acoustic communication and to reduce the wastage of the resource in the underwater acoustic communication. Security and performance analysis conducted through simulation experiments show that our scheme is resistant to quantum attacks and achieves differential privacy with low computational and communication cost overheads.","PeriodicalId":54347,"journal":{"name":"IEEE Internet of Things Journal","volume":"12 12","pages":"22325-22336"},"PeriodicalIF":8.9000,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Internet of Things Journal","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10924150/","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
With the rapid development of communication technologies in marine environments, the privacy and integrity of transmitted data have become important security issues. The security and resource consumption of existing privacy-preserving data aggregation schemes are not suitable for application to underwater acoustic communications. To address the above issues, this article proposes an NTRU lattice edge aggregation scheme based on underwater acoustic communication. Specifically, the scheme protects the data by perturbing it through edge differential privacy, and then encrypts the perturbed data using a lattice-based encryption method. In addition, it utilizes the NTRU lattice-based batch signature verification method to verify signatures in batch, which improves the verification efficiency. The pseudo-identity of nodes and timestamps are also utilized to enhance the security of the scheme. The edge computing model is utilized to reduce the high delay in underwater acoustic communication and to reduce the wastage of the resource in the underwater acoustic communication. Security and performance analysis conducted through simulation experiments show that our scheme is resistant to quantum attacks and achieves differential privacy with low computational and communication cost overheads.
期刊介绍:
The EEE Internet of Things (IoT) Journal publishes articles and review articles covering various aspects of IoT, including IoT system architecture, IoT enabling technologies, IoT communication and networking protocols such as network coding, and IoT services and applications. Topics encompass IoT's impacts on sensor technologies, big data management, and future internet design for applications like smart cities and smart homes. Fields of interest include IoT architecture such as things-centric, data-centric, service-oriented IoT architecture; IoT enabling technologies and systematic integration such as sensor technologies, big sensor data management, and future Internet design for IoT; IoT services, applications, and test-beds such as IoT service middleware, IoT application programming interface (API), IoT application design, and IoT trials/experiments; IoT standardization activities and technology development in different standard development organizations (SDO) such as IEEE, IETF, ITU, 3GPP, ETSI, etc.