Intelligent Solutions for Attack Mitigation in Zero-Trust Environments

Abstract
Many of today’s smart devices are rushed to market with little consideration for basic security and privacy protection, making them easy targets for various attacks. Therefore, IoT will benefit from adapting a zero-trust networking model which requires strict identity verification for every person and device trying to access resources on a private network, regardless of whether they are located within or outside of the network perimeter. Implementing such model can, however, become challenging, as the access policies have to be updated dynamically in the context of constantly changing network environment. In this research project, we are aiming to implement a prototype of intelligent defense framework relying on advanced technologies that have recently emerged in the area of software-defined networking and network function virtualization. The intelligent core of the system proposed is planned to employ several reinforcement machine learning agents which process current network state and mitigate both external attacker intrusions and stealthy advanced persistent threats acting from inside of the network environment.
Main Authors
Format
Books Book part
Published
2022
Series
Subjects
Publication in research information system
Publisher
Springer
The permanent address of the publication
https://urn.fi/URN:NBN:fi:jyu-202301251477Use this for linking
Parent publication ISBN
978-3-030-91292-5
Review status
Peer reviewed
ISSN
1871-3033
DOI
https://doi.org/10.1007/978-3-030-91293-2_17
Language
English
Published in
Computational Methods in Applied Sciences
Is part of publication
Cyber Security : Critical Infrastructure Protection
Citation
  • Zolotukhin, M., Hämäläinen, T., & Kotilainen, P. (2022). Intelligent Solutions for Attack Mitigation in Zero-Trust Environments. In M. Lehto, & P. Neittaanmäki (Eds.), Cyber Security : Critical Infrastructure Protection (pp. 403-417). Springer. Computational Methods in Applied Sciences, 56. https://doi.org/10.1007/978-3-030-91293-2_17
License
In CopyrightOpen Access
Copyright© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

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