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dc.contributor.author
Blekos, Christos
en
dc.date.accessioned
2022-06-08T08:25:06Z
dc.date.available
2022-06-08T08:25:06Z
dc.date.issued
2022-06-08
dc.identifier.uri
https://repository.ihu.edu.gr//xmlui/handle/11544/29943
dc.rights
Default License
dc.subject
Intrusion detection system
en
dc.subject
Financial institutions
en
dc.title
Intrusion Detection System in Financial Institutions
en
heal.type
masterThesis
en_US
heal.dateAvailable
2022-05-15
heal.language
en
en_US
heal.access
free
en_US
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
2022-02-09
heal.abstract
In the last decade financial sector has seen unprecedented growth that involves a lot of new technologies like online payments and the internet of things. But new technologies bring new challenges as the once well-secured financial sector has opened its door to a new dimension called Cyber Space and new threats. Regulators and lawmakers have made significant steps in cybersecurity by establishing new laws and directives to protect the financial sectors from the new emerging threats. One way for banks and other credit institutions to protect their assets and comply with the new regulations is an Intrusion Detection System. In this dissertation, we took an approach of two methods, a host-based intrusion detection system and a network-based intrusion detection system. We evaluated their results against common attacks on the network and systems. This thesis also presents a current landscape of cybersecurity in finance in terms of regulations and risk analysis and could guide building a defense strategy for small and medium financial enterprises.
el
heal.advisorName
Baltatzis, Dimitrios
el
heal.committeeMemberName
Baltatzis, Dimitrios
en
heal.committeeMemberName
Hatzivasilis, Georgios
en
heal.committeeMemberName
Papadopoulos, Georgios
en
heal.academicPublisher
IHU
en
heal.academicPublisherID
ihu
en_US


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