Earticle

초록

영어

As vehicles increasingly become electrically powered, recently manufactured vehicles contain, on average, more than 75 ECUs. The task of controlling the ECU to drive a vehicle and diagnose its condition is becoming more complex. Therefore, vehicle manufacturers are providing various in-vehicle diagnosis services, and mobile services that diagnose vehicle status are emerging, which connect via Bluetooth or WiFi, with an OBD scanner that reads data from the ECU. Through these services, packets can be collected and analyzed to assist in vehicle accident investigation and cause identification. We present the case study of packet collection and analysis using these services. Infocar's OBD scanner and Infocar mobile app installed on Galaxy S8 device are connected together and the packets exchanged between them are collected using the Bluetooth HCI snoop log function. It was confirmed that the analysis results can help to reconstruct the state of the vehicle and the behavior of the driver.

목차

Abstract
I. INTRODUCTION
II. RELATED WORK
III. PROCCESS OF BLUETOOTH HCI SNOOP LOG ANALYSIS
A. Generation of Blutooth HCI Snoop log
B. Vehicle-based driving test environment
C. Bluetooth HCI Snoop Log Acquisition and Analysis
IV. HCI SNOOP LOG ANALYSIS BASED ON SPECIFIC USER BEHAVIOR
A. Plug and connect OBD scanner
B. Drive
C. Stop and turn off engine
V. DISCUSSION
VI. CONCLUSION AND FUTURE WORK
REFERENCES

저자

• Hojun Seong [ Dept. of Computer Science and Engineering Dankook University ]
• Jiheun Jung [ Dept. of Software Science Dankook University ]
• Sanchul Han [ Dept.of Computer Engineering Konkuk University ]
• Minkyu Park [ Dept.of Computer Engineering Konkuk University ]
• Seong-je Cho [ Dept.of Software Science Dankook University ] Corresponding Author

참고문헌