Attack detection model based on stacking ensemble learning for Internet of vehicles

Attack detection model based on stacking ensemble learning for Internet of vehicles

Due to openness of wireless communication, Internet of vehicles (IoV) is vulnerable to many cyber-attacks such as denial of service, spoofing and fuzzy attacks. Therefore, random forest (RF) and gradient boosting decision tree-based stacking intrusion detection (RF-IDS) model was proposed. Firstly,...

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Bibliographic Details
Main Authors: XU Huibin, FANG Long, ZHANG Sha
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2024-12-01
Series:Dianxin kexue
Subjects:
Internet of vehicles
intrusion detection
ADASYN
GBDT
stacking
Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2024257/
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