期刊
IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING
卷 6, 期 2, 页码 815-824出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TGCN.2021.3126618
关键词
Marine vehicles; Artificial intelligence; Trajectory; Security; Privacy; Authentication; Base stations; Authentication; automatic identification system~(AIS); computational energy; communication energy; energy efficient scheme; marine traffic management; trajectory privacy
资金
- PR of China Ministry of Education Distinguished Professor Grant [MS2017BJKJ003]
An automatic identification system (AIS) plays a significant role in ship traffic monitoring, but its security is a concern. This study proposes an anonymous authentication scheme with trajectory privacy preservation, providing necessary security features by reducing computational and communication energy consumption.
An automatic identification system (AIS) provides significant improvements in traffic monitoring, collision avoidance, and ship assistance. A unique Maritime Mobile Service Identity (MMSI) is used by the AIS transceiver to identify the specific ship. However, an attacker can easily forge and tamper with unique MMSI. Also, the AIS transceiver sends the traffic information such as latitude, longitude, speed, MMSI, ship type, dimension, navigation status, etc. to the other ships and the base station continuously. This continuous communication of a ship with the base station or other ships may lead to the serious security threat of ship trajectory privacy. To overcome the above-discussed security threats, anonymous authentication with a trajectory privacy-preserving scheme is proposed. The security and performance analysis section ensures that the proposed scheme provides the necessary security features by consuming less computational and communication energy comparing to that of other competing systems.
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