Data Collection for Security Measurement in Wireless Sensor Networks: A Survey

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorXie, Haomengen_US
dc.contributor.authorYan, Zhengen_US
dc.contributor.authorYao, Zhenen_US
dc.contributor.authorAtiquzzaman, Mohammeden_US
dc.contributor.departmentDepartment of Communications and Networkingen
dc.contributor.organizationXidian Universityen_US
dc.contributor.organizationUniversity of Oklahomaen_US
dc.date.accessioned2019-06-03T14:12:47Z
dc.date.available2019-06-03T14:12:47Z
dc.date.issued2019-04en_US
dc.description.abstractWireless sensor network (WSN) is an indispensible part of Internet of Things that has been applied in many fields to monitor environments and collect data from surroundings. However, WSNs are highly susceptible to attacks due to its unique characteristics: large-scale, self-organization, dynamic topology, and constrained resources. A number of systems have been proposed to effectively detect varieties of attacks in WSNs. However, most previous surveys on WSN attacks focus on detection methods for only one or two types of attacks and lack detailed performance analysis. Additionally, the literature lacks comprehensive studies on security-related data (in short security data) collection in WSNs. In this paper, we first provide an overview of WSNs and classify the attacks in WSNs based on protocol stack layers. For the purpose of WSN security measurement, we then research attack detection methods of eleven mainstream attacks. We extract security data that play an important role for detecting security anomaly toward security measurement. We further elaborate the advantages and disadvantages of the existing detection methods based on a number of evaluation criteria. Finally, we highlight a number of open problems in this paper field based on our thorough survey and conclude this paper with possible future research directions.en
dc.description.versionPeer revieweden
dc.format.extent2205-2224
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationXie, H, Yan, Z, Yao, Z & Atiquzzaman, M 2019, ' Data Collection for Security Measurement in Wireless Sensor Networks : A Survey ', IEEE Internet of Things Journal, vol. 6, no. 2, 8543865, pp. 2205-2224 . https://doi.org/10.1109/JIOT.2018.2883403en
dc.identifier.doi10.1109/JIOT.2018.2883403en_US
dc.identifier.issn2327-4662
dc.identifier.otherPURE UUID: 5aa321c4-6395-46d6-b845-6455ed1db2ecen_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/5aa321c4-6395-46d6-b845-6455ed1db2ecen_US
dc.identifier.otherPURE LINK: http://www.scopus.com/inward/record.url?scp=85057370380&partnerID=8YFLogxKen_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/30371926/DataCollectionforSecurityMeasurementWSN_final.pdfen_US
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/38262
dc.identifier.urnURN:NBN:fi:aalto-201906033347
dc.language.isoenen
dc.publisherInstitute of Electrical and Electronics Engineers
dc.relation.ispartofseriesIEEE Internet of Things Journalen
dc.relation.ispartofseriesVolume 6, issue 2en
dc.rightsopenAccessen
dc.subject.keywordattack detectionen_US
dc.subject.keywordData collectionen_US
dc.subject.keywordInternet of Thingsen_US
dc.subject.keywordInternet of Things (IoT)en_US
dc.subject.keywordJammingen_US
dc.subject.keywordPhysical layeren_US
dc.subject.keywordRandom access memoryen_US
dc.subject.keywordSecurityen_US
dc.subject.keywordsecurity data collectionen_US
dc.subject.keywordsecurity measurementen_US
dc.subject.keywordWireless Sensor Network (WSN).en_US
dc.subject.keywordWireless sensor networksen_US
dc.titleData Collection for Security Measurement in Wireless Sensor Networks: A Surveyen
dc.typeA2 Katsausartikkeli tieteellisessä aikakauslehdessäfi
dc.type.versionacceptedVersion
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