.png){kind=icon}
返回
CNN-Based Adaptive Source Node Identifier for Controller Area Network (CAN)
.png){kind=icon}
PRE
AI
DOI：10.1109/TVT.2020.3016352.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The controller area network (CAN) is the de facto standard for in-vehicle networks. Numerous vehicles are equipped with a CAN for the networking of electronic control units. Since the CAN has no intrinsic secured identification protocol, however, it is vulnerable to security attacks. In this paper, we propose a convolution neural network (CNN)-based message source identifier. Since the proposed scheme uses the physical characteristics of the CAN bus channel, it can be implemented without modification of the CAN protocol.
Keyword:
Protocols
Feature extraction
Authentication
Transmitters
Convolution
Neural networks
Controller area network (CAN)
convolution neural network (CNN)
source identification
in-vehicle network (IVN)
security
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
7.1
论文数:
1.8W
被引数:
6.6W
机构
暂无机构信息
引用论文
.png){kind=icon}
Identifying ECUs Using Inimitable Characteristics of Signals in Controller Area Networks使用控制器区域网络中信号的独特特征识别ecu
OAAI
OAAI分享收藏分享收藏分享收藏分享收藏
查看更多内容