{"title":"大规模无线传感器网络的密钥管理","authors":"H. Ferng, Jeffrey Nurhakim","doi":"10.1109/ICMLC.2014.7009147","DOIUrl":null,"url":null,"abstract":"In this paper, we focus on the key management issue in a large-scale wireless sensor network (WSN). Employing an end-to-end data security method and a distributed key revocation, a key management protocol is designed accordingly. The performance analysis shows that our proposed protocol outperforms LEDS [15] in terms of efficiency of resilience. By the analysis of key storage overheads, we demonstrate that this overhead of our proposed protocol is fewer than that of [18].","PeriodicalId":335296,"journal":{"name":"2014 International Conference on Machine Learning and Cybernetics","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Key management for a large-scale wireless sensor network\",\"authors\":\"H. Ferng, Jeffrey Nurhakim\",\"doi\":\"10.1109/ICMLC.2014.7009147\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we focus on the key management issue in a large-scale wireless sensor network (WSN). Employing an end-to-end data security method and a distributed key revocation, a key management protocol is designed accordingly. The performance analysis shows that our proposed protocol outperforms LEDS [15] in terms of efficiency of resilience. By the analysis of key storage overheads, we demonstrate that this overhead of our proposed protocol is fewer than that of [18].\",\"PeriodicalId\":335296,\"journal\":{\"name\":\"2014 International Conference on Machine Learning and Cybernetics\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-07-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 International Conference on Machine Learning and Cybernetics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMLC.2014.7009147\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Machine Learning and Cybernetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMLC.2014.7009147","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Key management for a large-scale wireless sensor network
In this paper, we focus on the key management issue in a large-scale wireless sensor network (WSN). Employing an end-to-end data security method and a distributed key revocation, a key management protocol is designed accordingly. The performance analysis shows that our proposed protocol outperforms LEDS [15] in terms of efficiency of resilience. By the analysis of key storage overheads, we demonstrate that this overhead of our proposed protocol is fewer than that of [18].