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dc.contributor.author채기준-
dc.contributor.author도인실-
dc.date.accessioned2017-08-29T05:04:25Z-
dc.date.available2017-08-29T05:04:25Z-
dc.date.issued2009-
dc.identifier.issn0972-9038-
dc.identifier.otherOAK-18044-
dc.identifier.urihttp://dspace.ewha.ac.kr/handle/2015.oak/231200-
dc.description.abstractWireless Sensor Network (WSN) is a very attractive technique to support Ubiquitous Pervasive Computing(UPC) such as Medical Sensor Network (MSN) due to many merits such as compact form, low-power, and potential low cost. However, the more the sensor nodes exist, the more difficult the manager monitors sensor nodes individually, and faults of the sensing value are common due to the artificial attackers and the lack of physical protection. Therefore, we propose a key management and distributed abnormal area scanning scheme using spatial, temporal correlation and in-network aggregation for secure MSN. Simulations show that our scheme can clearly identify the abnormal sensors with high accuracy among the existing normal sensors, abnormal sensor, and event-detecting sensors. In addition, we show that the delivery ratio increases under various network environments through the key management scheme. © Technomathematics Research Foundation.-
dc.languageEnglish-
dc.titleA fault management and moniroting mechanism for secure medical sensor network-
dc.typeArticle-
dc.relation.issue3-
dc.relation.volume6-
dc.relation.indexSCOPUS-
dc.relation.startpage43-
dc.relation.lastpage56-
dc.relation.journaltitleInternational Journal of Computer Science and Applications-
dc.identifier.scopusid2-s2.0-67650491661-
dc.author.googleOh H.-
dc.author.googleDoh I.-
dc.author.googleChae K.-
dc.contributor.scopusid채기준(7102584247)-
dc.contributor.scopusid도인실(14029666900)-
dc.date.modifydate20190302081000-
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엘텍공과대학 > 컴퓨터공학과 > Journal papers
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