{"title":"基于布隆滤波器的无线传感器网络数据集成","authors":"Shahin Ghadiri, S. Khorsandi","doi":"10.1109/ICWR.2019.8765260","DOIUrl":null,"url":null,"abstract":"Data integration is a widely-used technique in wireless sensor networks. Security-aimed goals consisting of getting assurance about universality and correctness of data in data integration, while sensors are deployed in an enemy environment are truly vital. In this article, we have indicated that usage of the Bloom filters can satisfy our security goals. Furthermore, this technique, in comparison with existing methods, produces fewer overloads.","PeriodicalId":6680,"journal":{"name":"2019 5th International Conference on Web Research (ICWR)","volume":"14 1","pages":"74-78"},"PeriodicalIF":0.0000,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Data Integration in Wireless Sensor Networks Using the Bloom Filters\",\"authors\":\"Shahin Ghadiri, S. Khorsandi\",\"doi\":\"10.1109/ICWR.2019.8765260\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Data integration is a widely-used technique in wireless sensor networks. Security-aimed goals consisting of getting assurance about universality and correctness of data in data integration, while sensors are deployed in an enemy environment are truly vital. In this article, we have indicated that usage of the Bloom filters can satisfy our security goals. Furthermore, this technique, in comparison with existing methods, produces fewer overloads.\",\"PeriodicalId\":6680,\"journal\":{\"name\":\"2019 5th International Conference on Web Research (ICWR)\",\"volume\":\"14 1\",\"pages\":\"74-78\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 5th International Conference on Web Research (ICWR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICWR.2019.8765260\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 5th International Conference on Web Research (ICWR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICWR.2019.8765260","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Data Integration in Wireless Sensor Networks Using the Bloom Filters
Data integration is a widely-used technique in wireless sensor networks. Security-aimed goals consisting of getting assurance about universality and correctness of data in data integration, while sensors are deployed in an enemy environment are truly vital. In this article, we have indicated that usage of the Bloom filters can satisfy our security goals. Furthermore, this technique, in comparison with existing methods, produces fewer overloads.