| Title | Blockchain Based Framework For Driver Profiling in Smart Cities |
|---|---|
| ID_Doc | 43658 |
| Authors | Pramod, N; Sankaran, S |
| Title | Blockchain Based Framework For Driver Profiling in Smart Cities |
| Year | 2019 |
| Published | |
| Abstract | Smart cities can deliver innovative solutions by leveraging technologies such as Internet of Things(IoT) and Blockchains. Driver profiling is of paramount importance in smart cities to monitor driving patterns, traffic violations, and resolve legal issues. However, preserving confidentiality of driver records while continuously monitoring their activities is a major challenge. Traditional mechanisms for driver profiling involve manual intervention and has a higher risk of exposure to being tampered. Thus it becomes necessary to equip smart cities with a tamper-resistant and a decentralized driver profiling system which is capable of storing driver records. In this work, we propose a Blockchain based framework for driver profiling in smart cities which enables secure collection and storage of driver and event records. The framework is composed of various services such as: 1) Driver registration and identity validation using Authentication service 2) Provide driver with a unique time-based token for recording event based data to ensure data authenticity. Finally, we evaluate the system by measuring the performance and power consumption and analyzing power-performance trade-offs. Our proposed framework is generic in that it can be utilized by online transportation networks for driver behavior tracking and profiling. |
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