Current Result Document :
| 한글제목(Korean Title) |
신뢰성 있는 트래픽 스티어링을 위한 취약성 네트워크 장애 감지 스킴 |
| 영문제목(English Title) |
Vulnerability Network Failure Detection Scheme for Reliable Traffic Steering |
| 저자(Author) |
맛사
담프로힘
김석훈
Sa Math
Prohim Tam
Seokhoon Kim
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| 원문수록처(Citation) |
VOL 22 NO. 01 PP. 0107 ~ 0108 (2021. 04) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
An integrated artificial intelligence (AI) in next-generation (NG) networks (5G and 6G) brings novelty opportunities and challenging issues in the intelligent network systems. AI takes a significant to perform satisfy accuracy decision for large-scale data networking in terms of classification, prediction, and recommendation. NG network environments consist of massive and heterogeneous gateways for forwarding user traffic from user-side toward application cloud, since the failure of each forwarding entity required to have dedicate status aware for optimal traffic steering method. This paper proposed an efficient scheme based on lightweight machine learning (ML) algorithm for vulnerability network failure inspection. ML computes the collected network status information from the variety of forwarding gateways. After finishing performing the classification between , effective traffic steering can be made. The proposed scheme performs balancing traffic forwarding and reliable improvement which meets the NG application perspectives.
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