Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Fast and Adaptive Mesh Access Control in Low-Power and Lossy Networks

Full metadata record
DC Field Value Language
dc.contributor.authorPaek, Jeongyeup-
dc.date.accessioned2021-07-20T03:42:46Z-
dc.date.available2021-07-20T03:42:46Z-
dc.date.issued2015-10-
dc.identifier.issn2327-4662-
dc.identifier.urihttps://scholarworks.bwise.kr/cau/handle/2019.sw.cau/47657-
dc.description.abstractLow-power and lossy networks (LLNs) comprised of thousands of embedded networking devices connected to the larger Internet architecture can be used in a variety of applications, leading to the emerging concept of the Internet of Things (IoT). Access control and key management in such LLN is a big challenge since authentication, authorization, and key management process involves several handshakes of large size packets over low bandwidth and high latency links through a bottlenecked LLN border router (LBR). This may result in significant wasted bandwidth and slow authentication completion time. The goal of this work is to propose a "fast and adaptive node authentication mechanism for low-power lossy networks," called FINALLY, that solves these problems and significantly improves the efficiency and speed of mesh authentication process. We evaluate FINALLY through simulations and show that it allows devices to authenticate quickly without repeated authentication failures, reduces unnecessarily wasted transmissions, and improves the overall completion time of the authentication process.-
dc.format.extent10-
dc.language영어-
dc.language.isoENG-
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC-
dc.titleFast and Adaptive Mesh Access Control in Low-Power and Lossy Networks-
dc.typeArticle-
dc.identifier.doi10.1109/JIOT.2015.2457940-
dc.identifier.bibliographicCitationIEEE INTERNET OF THINGS JOURNAL, v.2, no.5, pp 435 - 444-
dc.description.isOpenAccessN-
dc.identifier.wosid000373098700010-
dc.identifier.scopusid2-s2.0-84942337506-
dc.citation.endPage444-
dc.citation.number5-
dc.citation.startPage435-
dc.citation.titleIEEE INTERNET OF THINGS JOURNAL-
dc.citation.volume2-
dc.type.docTypeArticle-
dc.publisher.location미국-
dc.subject.keywordAuthorAuthentication-
dc.subject.keywordAuthorlow-power lossy network (LLN)-
dc.subject.keywordAuthorwireless mesh networks-
dc.subject.keywordAuthorwireless sensor networks-
dc.subject.keywordPlusKEY DISTRIBUTION-
dc.subject.keywordPlusSMART-
dc.subject.keywordPlusMANAGEMENT-
dc.subject.keywordPlusCHALLENGES-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaTelecommunications-
dc.relation.journalWebOfScienceCategoryComputer Science, Information Systems-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.relation.journalWebOfScienceCategoryTelecommunications-
dc.description.journalRegisteredClassscopus-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Software > School of Computer Science and Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Paek, Jeong Yeup photo

Paek, Jeong Yeup
소프트웨어대학 (소프트웨어학부)
Read more

Altmetrics

Total Views & Downloads

BROWSE