dc.contributor.author
Dinakus, Aristidis
en
dc.date.accessioned
2021-09-09T10:00:52Z
dc.date.available
2021-09-09T10:00:52Z
dc.date.issued
2021-09-09
dc.identifier.uri
https://repository.ihu.edu.gr//xmlui/handle/11544/29794
dc.rights
Default License
dc.subject
Internet of things
en
dc.subject
Cyber threat
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dc.title
Cyber Threat Intelligence Sources for the Internet of Things
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heal.type
masterThesis
en_US
heal.dateAvailable
2021-05-24
heal.license
http://creativecommons.org/licenses/by-nc/4.0
en_US
heal.recordProvider
School of Science and Technology, MSc in Cybersecurity
en_US
heal.publicationDate
2021-05-24
heal.abstract
This dissertation was written as a part of the MSc in ICT Systems at the International Hellenic University. Here goes a summary of the dissertation.
The main objective of this work is to identify CTI sources that could be used for the protection of the Internet of Things (IoT), by identifying CTI that target devices and op-erating systems that are related to the IoT. This task includes comprehensive knowledge about Cyber threat intelligence and evaluation of data feeds of some CTI sources to de-termine which can provide attributes that can be used for IoT device identification. A concept level application that handles searching for IoT devices in a network environ-ment, fetching of the CPE provided for each device, comparing, verifying, and of course presenting all the IoT devices vulnerabilities for your network using a database that han-dles all of this data as part of a demonstration of the possibilities of such a system.
en
heal.advisorName
Rantos, Konstantinos
en
heal.committeeMemberName
Baltatzis, Dimitrios
en
heal.academicPublisher
IHU
en
heal.academicPublisherID
ihu
en_US