Earticle

초록

영어

The in-vehicle infotainment (IVI) system provides driving-related information such as vehicle status and route guidance, as well as entertainment services for users. In other words, the IVI system performs a variety of functions such as audio and video data streaming, navigation, smartphone pairing and mirroring, and voice-activated vehicle control. Therefore, the IVI system stores a very large amount of log data, including fuel consumption, current vehicle status, navigation information, as well as information about external devices (e.g., smartphones, tablets) connected to it. Manually analyzing such log data is cumbersome and time-consuming. To solve this problem, this paper proposes a method to efficiently analyze log data of the IVI system. The proposed method can automatically extract and analyze important information, enabling effective vehicle digital forensic investigation.

목차

Abstract
I. INTRODUCTION
II. BACKGORUND
III. PROPOSED APPROACH
A. Overview
B. Constructing RegEx Database
C. Filtering IVI Logs
IV. EXPERIMENTAL SYSTEMS AND THEIR LOGS
V. EXPERIMENTAL RESULT AND DISCUSSION
A. Experimental Result and Discussion
B. Limitation
VI. CONCLUSION
ACKNOWLEDGMENT
REFERENCES

저자

• Haein Kang [ Dept. of AI-based Convergence Dankook University Yongin, Republic of Korea ]
• Jeeheun Jung [ Dept. of Software Science Dankook University Yongin, Republic of Korea ]
• Seongbin Cho [ Dept. of Software Science Dankook University ]
• Minkyu Park [ Dept. of Computer Engineering Konkuk University ]
• Jongmoo Choi [ Dept. of Software Science Dankook University ]
• Seong-je Cho [ Dept. of Software Science Dankook University ] Corresponding Author

참고문헌