Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
High performance intrusion prevention for software-defined container networks
Download
Yalginay_Thesis.pdf
Date
2024-10-25
Author
Yaltırık, Yalgınay
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
35
views
0
downloads
Cite This
The rapid growth of Internet of Things, along with advancements in mobile networks, big data and cloud computing has increased the need for faster and more reliable networks. Software-Defined Networks have become crucial to meeting the performance needs of applications such as smart homes, autonomous vehicles and remote health-care services. Simultaneously, microservice architectures in cloud computing have become more valuable due to the flexibility and efficiency of containers. As more container-based applications are used, the risk of cyberattacks targeting these networks has also risen. This thesis presents an intrusion prevention model designed for software-defined container networks. The model includes a system for collecting traffic data from containers and a health monitoring module aimed at stopping detected security threats. By continuously monitoring the network and responding to potential attacks, this approach offers an efficient and scalable solution to protect container-based cloud environments from increasing cybersecurity risks.
Subject Keywords
Container security
,
Software defined network
,
Cyberattacks on containers
,
Google Kubernetes Engine
,
Intrusion prevention
URI
https://hdl.handle.net/11511/112396
Collections
Graduate School of Natural and Applied Sciences, Thesis
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
Y. Yaltırık, “High performance intrusion prevention for software-defined container networks,” M.S. - Master of Science, Middle East Technical University, 2024.