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 Min ; Yongsoon Eun ; Jiwoong 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

Show Full Item Record