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dc.contributor.advisorYang, Andrew
dc.creatorRiner, Spencer Clay
dc.date.accessioned2021-07-16T14:37:11Z
dc.date.available2021-07-16T14:37:11Z
dc.date.created2021-05
dc.date.issued2021-04-28
dc.date.submittedMay 2021
dc.identifier.urihttps://hdl.handle.net/10657.1/2573
dc.description.abstractInternet of Things devices have permeated the daily lives of many by offering useful insights into their daily lives through the use of sensors and cameras to collect and display real-world data. Increasingly, these devices are the targets of cyber attacks that exploit various protocols essential to their functionality such as Telnet and UPnP. Elasticsearch is a distributed indexing system that allows for the horizontal scaling of coordinated node devices to increase their performance. Elasticsearch, along with its companion software elements Logstash and Kibana, are studied to identify their role in increasing the security of Internet of Things by testing the CallStranger UPnP exploit.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.subjectIOT
dc.subjectElasticsearch
dc.subjectcybersecurity
dc.subjectdistributed computing
dc.titleApplying a Distributed Elasticsearch Cluster to Increased Security in IOT Devices
dc.typeThesis
dc.date.updated2021-07-16T14:37:11Z
thesis.degree.grantorUniversity of Houston-Clear Lake
thesis.degree.levelMasters
thesis.degree.nameMaster of Science
dc.contributor.committeeMemberSha, Kewei
dc.contributor.committeeMemberWei, Wei
dc.type.materialtext


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