The 8th International Conference on Next Generation Computing 2022 (2022.10)바로가기
페이지
pp.187-190
저자
Hojun Seong, Jiheun Jung, Sanchul Han, Minkyu Park, Seong-je Cho
언어
영어(ENG)
URL
https://www.earticle.net/Article/A419771
원문정보
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