{"title":"A NTRU-Based Data Deduplication Scheme for Underwater Acoustic Sensor Networks","authors":"Ming Xu;Tongtong Guo","doi":"10.1109/JSEN.2025.3542506","DOIUrl":null,"url":null,"abstract":"Data security and storage capacity have become more important as a result of the extensive use of underwater acoustic sensor networks (UWSNs) in fields including military applications, national defense, and marine resource research. To maintain data security while cutting costs associated with transmission and storage, we propose a number theory research unit (NTRU)-based data deduplication strategy for UWSNs, coined as NTRU-based data deduplication scheme for underwater acoustic sensor networks (NTDP). The NTDP scheme is novel in three aspects. First, a novel encryption scheme is proposed to ensure data security and privacy by utilizing primitive vectors, combined with NTRU multi-key fully homomorphic encryption and certificateless signatures in an underwater resource-constrained environment. Second, we propose a dynamic partitioning algorithm, which can identify repetitions within preprocessed data blocks so as to effectively achieve data deduplication. Third but not least, the NTDP scheme embeds a secure proof of ownership (PoW) protocol to ensure semantic security, enabling surface relay devices to claim data ownership without disclosing the actual data content, thus improving the level of data privacy protection. Extensive experimental results show that the NTDP scheme effectively enhances data transmission security and improves data storage efficiency in UWSNs.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 7","pages":"12210-12221"},"PeriodicalIF":4.3000,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Sensors Journal","FirstCategoryId":"103","ListUrlMain":"https://ieeexplore.ieee.org/document/10902096/","RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
Data security and storage capacity have become more important as a result of the extensive use of underwater acoustic sensor networks (UWSNs) in fields including military applications, national defense, and marine resource research. To maintain data security while cutting costs associated with transmission and storage, we propose a number theory research unit (NTRU)-based data deduplication strategy for UWSNs, coined as NTRU-based data deduplication scheme for underwater acoustic sensor networks (NTDP). The NTDP scheme is novel in three aspects. First, a novel encryption scheme is proposed to ensure data security and privacy by utilizing primitive vectors, combined with NTRU multi-key fully homomorphic encryption and certificateless signatures in an underwater resource-constrained environment. Second, we propose a dynamic partitioning algorithm, which can identify repetitions within preprocessed data blocks so as to effectively achieve data deduplication. Third but not least, the NTDP scheme embeds a secure proof of ownership (PoW) protocol to ensure semantic security, enabling surface relay devices to claim data ownership without disclosing the actual data content, thus improving the level of data privacy protection. Extensive experimental results show that the NTDP scheme effectively enhances data transmission security and improves data storage efficiency in UWSNs.
期刊介绍:
The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following:
-Sensor Phenomenology, Modelling, and Evaluation
-Sensor Materials, Processing, and Fabrication
-Chemical and Gas Sensors
-Microfluidics and Biosensors
-Optical Sensors
-Physical Sensors: Temperature, Mechanical, Magnetic, and others
-Acoustic and Ultrasonic Sensors
-Sensor Packaging
-Sensor Networks
-Sensor Applications
-Sensor Systems: Signals, Processing, and Interfaces
-Actuators and Sensor Power Systems
-Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting
-Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data)
-Sensors in Industrial Practice