Applying a Distributed Elasticsearch Cluster to Increased Security in IOT Devices
| dc.contributor.advisor | Yang, Andrew | |
| dc.contributor.committeeMember | Sha, Kewei | |
| dc.contributor.committeeMember | Wei, Wei | |
| dc.creator | Riner, Spencer Clay | |
| dc.date.accessioned | 2021-07-16T14:37:11Z | |
| dc.date.available | 2021-07-16T14:37:11Z | |
| dc.date.created | 2021-05 | |
| dc.date.issued | 2021-04-28 | |
| dc.date.submitted | May 2021 | |
| dc.date.updated | 2021-07-16T14:37:11Z | |
| dc.description.abstract | Internet 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.mimetype | application/pdf | |
| dc.identifier.uri | https://hdl.handle.net/10657.1/2573 | |
| dc.language.iso | en | |
| dc.subject | IOT | |
| dc.subject | Elasticsearch | |
| dc.subject | cybersecurity | |
| dc.subject | distributed computing | |
| dc.title | Applying a Distributed Elasticsearch Cluster to Increased Security in IOT Devices | |
| dc.type | Thesis | |
| dc.type.material | text | |
| thesis.degree.grantor | University of Houston-Clear Lake | |
| thesis.degree.level | Masters | |
| thesis.degree.name | Master of Science |
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