{"title":"支持关键字查询的前向安全可验证数据流","authors":"","doi":"10.1016/j.ins.2024.121375","DOIUrl":null,"url":null,"abstract":"<div><p>Verifiable data streaming (VDS) allows users to continuously upload their encrypted data items to untrusted cloud servers to reduce the burden of local storage. Meanwhile, it enables users to update outsourced data and initiate queries to verify data integrity. However, most previous works focus on queries for a certain index and are not compatible with general keyword queries. To this end, we propose a VDS protocol that supports keyword queries. Specifically, we first present an efficient dynamic symmetric searchable encryption (DSSE) with range query, which can represent multiple queried keywords within a range as the concise query token, thereby achieving communication-optimized keyword queries while achieving unbounded data appending. Furthermore, we construct a new VDS protocol supporting keyword queries by integrating the proposed range DSSE. Specifically, suppose the user searches for multiple keywords within a certain range. In that case, cloud servers can match the corresponding data items based on the user's query token, and users can verify the integrity of these data items. Security analysis demonstrates that our VDS protocol achieves forward security. Experimental results show that it sacrifices acceptable costs in exchange for keyword retrieval capability.</p></div>","PeriodicalId":51063,"journal":{"name":"Information Sciences","volume":null,"pages":null},"PeriodicalIF":8.1000,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Towards forward secure verifiable data streaming with support for keyword query\",\"authors\":\"\",\"doi\":\"10.1016/j.ins.2024.121375\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Verifiable data streaming (VDS) allows users to continuously upload their encrypted data items to untrusted cloud servers to reduce the burden of local storage. Meanwhile, it enables users to update outsourced data and initiate queries to verify data integrity. However, most previous works focus on queries for a certain index and are not compatible with general keyword queries. To this end, we propose a VDS protocol that supports keyword queries. Specifically, we first present an efficient dynamic symmetric searchable encryption (DSSE) with range query, which can represent multiple queried keywords within a range as the concise query token, thereby achieving communication-optimized keyword queries while achieving unbounded data appending. Furthermore, we construct a new VDS protocol supporting keyword queries by integrating the proposed range DSSE. Specifically, suppose the user searches for multiple keywords within a certain range. In that case, cloud servers can match the corresponding data items based on the user's query token, and users can verify the integrity of these data items. Security analysis demonstrates that our VDS protocol achieves forward security. Experimental results show that it sacrifices acceptable costs in exchange for keyword retrieval capability.</p></div>\",\"PeriodicalId\":51063,\"journal\":{\"name\":\"Information Sciences\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":8.1000,\"publicationDate\":\"2024-08-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Information Sciences\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0020025524012891\",\"RegionNum\":1,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"0\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information Sciences","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0020025524012891","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
Towards forward secure verifiable data streaming with support for keyword query
Verifiable data streaming (VDS) allows users to continuously upload their encrypted data items to untrusted cloud servers to reduce the burden of local storage. Meanwhile, it enables users to update outsourced data and initiate queries to verify data integrity. However, most previous works focus on queries for a certain index and are not compatible with general keyword queries. To this end, we propose a VDS protocol that supports keyword queries. Specifically, we first present an efficient dynamic symmetric searchable encryption (DSSE) with range query, which can represent multiple queried keywords within a range as the concise query token, thereby achieving communication-optimized keyword queries while achieving unbounded data appending. Furthermore, we construct a new VDS protocol supporting keyword queries by integrating the proposed range DSSE. Specifically, suppose the user searches for multiple keywords within a certain range. In that case, cloud servers can match the corresponding data items based on the user's query token, and users can verify the integrity of these data items. Security analysis demonstrates that our VDS protocol achieves forward security. Experimental results show that it sacrifices acceptable costs in exchange for keyword retrieval capability.
期刊介绍:
Informatics and Computer Science Intelligent Systems Applications is an esteemed international journal that focuses on publishing original and creative research findings in the field of information sciences. We also feature a limited number of timely tutorial and surveying contributions.
Our journal aims to cater to a diverse audience, including researchers, developers, managers, strategic planners, graduate students, and anyone interested in staying up-to-date with cutting-edge research in information science, knowledge engineering, and intelligent systems. While readers are expected to share a common interest in information science, they come from varying backgrounds such as engineering, mathematics, statistics, physics, computer science, cell biology, molecular biology, management science, cognitive science, neurobiology, behavioral sciences, and biochemistry.