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Detecting Attacks on Communication Data using Deep Learning and Vehicle Physical Properties in Cooperative Intelligent Transportation Systems
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Title
Detecting Attacks on Communication Data using Deep Learning and Vehicle Physical Properties in Cooperative Intelligent Transportation Systems
Alternative Title
협력 지능형 교통 시스템에서 딥러닝과 차량의 물리적 속성을 활용한 통신 데이터 공격 탐지
DGIST Authors
Jihyun MinYongsoon EunJiwoong Choi
Advisor
은용순
Co-Advisor(s)
Jiwoong Choi
Issued Date
2024
Awarded Date
2024-08-01
Citation
Jihyun Min. (2024). Detecting Attacks on Communication Data using Deep Learning and Vehicle Physical Properties in Cooperative Intelligent Transportation Systems. doi: 10.22677/THESIS.200000804902
Type
Thesis
Description
Data falsification attack detection, Cooperative Intelligent Transportation System
Table Of Contents
1 Introduction 1
1.1 Motivation 1
1.2 Related Work 2
1.3 Contribution 3
1.4 Thesis Outline 4
2 Vehicle Network Structure and Data Collection 5
2.1 C-ITS 5
2.2 Autonomous Vehicle Data Collection Based on Custom Roads 7
2.3 Autonomous Vehicle Data Collection Based on Actual Roads 9
2.4 Attack Model 10
3 Vehicle Network Attack Detector and Evaluation Method 25
3.1 Attack Detector Structure 25
3.2 Evaluation Method 27
3.3 Neural Network Module 28
3.4 Plausibility Check Module 30
3.5 Attack Detector Design 33
4 Detector Performance Evaluation 37
4.1 Attack Detection Performance using Custom Roads Data 37
4.2 Attack Detection Performance using Actual Roads Data 37
4.3 Attack Detection Performance Against Expanded Attacks 38
5 Conclusion 43
bibliography 47
국문초록 49
URI
http://hdl.handle.net/20.500.11750/57634
http://dgist.dcollection.net/common/orgView/200000804902
DOI
10.22677/THESIS.200000804902
Degree
Master
Department
Department of Electrical Engineering and Computer Science
Publisher
DGIST
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