Summary
Asia-Pacific Network Operations and Management Symposium
2022
Session Number:PS4
Session:
Number:PS4-04
Security Service-aware Reinforcement Learning for Efficient Network Service Provisioning
Hyeonjun Jo, Kyungbaek Kim ,
pp.-
Publication Date:2022/09/28
Online ISSN:2188-5079
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Summary:
In case of deploying additional network security equipment in a new location, network service providers face difficulties such as precise management of large number of network security equipment and expensive network operation costs. Accordingly, there is a need for a method for security-aware network service provisioning using the existing network security equipment. In order to solve this problem, there is an existing reinforcement learning-based routing decision method fixed for each node. This method performs repeatedly until a routing decision satisfying end-to-end security constraints is achieved. This generates a disadvantage of longer network service provisioning time. In this paper, we propose security constraints reinforcement learning based routing (SCRR) algorithm that generates routing decisions, which satisfies end-to-end security constraints by giving conditional reward values according to the agent state-action pairs when performing reinforcement learning.