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Title	Bits: Blockchain Based Intelligent Transportation System With Outlier Detection For Smart City
ID_Doc	12307
Authors	Maskey S.R.; Badsha S.; Sengupta S.; Khalil I.
Year	2020
Published	2020 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2020
DOI	http://dx.doi.org/10.1109/PerComWorkshops48775.2020.9156237
Abstract	With the rise of smart cities, transportation systems are getting smarter every day. An Intelligent Transportation System (ITS) should be secure, autonomous, capable of discerning safeness levels at the roads, and provide services to improve human experience. To reach the gold standard, the ITS faces several issues such as centralization, trust, and data integrity. The Transportation System and the data generated from the vehicles can be intercepted, manipulated and corrupted with coordinated attacks. Moreover, every system might have bad actors who want to manipulate the system or data to his or her favor by exploiting the system. In order to guarantee data integrity, immutability, and availability for the ITS, we propose Blockchain based architecture with outlier detection to prevent malicious activity by the vehicles while preserving integrity in sharing information. The Outlier Detection is designed to reside before the consensus process, to identify and prevent participation of malicious vehicles in consensus process or block mining. In our proposed Blockchain based Intelligent Transportation system with Outlier Detection for Smart City (BITS), we used machine learning to detect the anomaly in the data. The proposed model can be used in various applications of ITS such as traffic monitoring, criminal activity profiling, accident detection and reporting, etc. © 2020 IEEE.
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