TY - GEN
T1 - A privacy-preserving and vessel authentication scheme using automatic identification system
AU - Su, Pengchuan
AU - Sun, Nan
AU - Zhu, Liehuang
AU - Li, Yandong
AU - Bi, Rongrong
AU - Li, Meng
AU - Zhang, Zijian
N1 - Publisher Copyright:
© 2017 ACM.
PY - 2017/4/2
Y1 - 2017/4/2
N2 - Automatic Identification System (AIS) has been widely used in smart vessel transportation aiding collision avoidance, search, rescue and traffic monitoring nowadays. AIS transceiver adopts a unique Maritime Mobile Service Identity (MM- SI) to identify a vessel uniquely. However, this identity is now simple to be forged and tampered. Besides, AIS transceiver broadcasts voyage information automatically and continuously, which makes it possible to be tracked when communicating with the sea-side infrastructures or other vessels. Thus, it poses a serious threat to vessel trajectory privacy. To tackle this problem, we first propose a Digital Certificate based Identity Authentication Scheme (IAS) to ensure the authenticity of the AIS data source. Secondly, we further propose a Mix-zone and Blind-signature based Trajectory Privacy Protection Scheme (TPPS) to guarantee that the vessel identity and trajectory information will not be leaked without losing AIS basic function. Finally we analyse the security of our scheme. The experimental results show that our scheme has the same magnitude order of time-consuming compared with the ordinary AIS data pack and unpack protocol.
AB - Automatic Identification System (AIS) has been widely used in smart vessel transportation aiding collision avoidance, search, rescue and traffic monitoring nowadays. AIS transceiver adopts a unique Maritime Mobile Service Identity (MM- SI) to identify a vessel uniquely. However, this identity is now simple to be forged and tampered. Besides, AIS transceiver broadcasts voyage information automatically and continuously, which makes it possible to be tracked when communicating with the sea-side infrastructures or other vessels. Thus, it poses a serious threat to vessel trajectory privacy. To tackle this problem, we first propose a Digital Certificate based Identity Authentication Scheme (IAS) to ensure the authenticity of the AIS data source. Secondly, we further propose a Mix-zone and Blind-signature based Trajectory Privacy Protection Scheme (TPPS) to guarantee that the vessel identity and trajectory information will not be leaked without losing AIS basic function. Finally we analyse the security of our scheme. The experimental results show that our scheme has the same magnitude order of time-consuming compared with the ordinary AIS data pack and unpack protocol.
KW - AIS
KW - Authentication
KW - Privacy-preserving
UR - http://www.scopus.com/inward/record.url?scp=85022177118&partnerID=8YFLogxK
U2 - 10.1145/3055259.3055261
DO - 10.1145/3055259.3055261
M3 - Conference contribution
AN - SCOPUS:85022177118
T3 - SCC 2017 - Proceedings of the 5th ACM International Workshop on Security in Cloud Computing, co-located with ASIA CCS 2017
SP - 83
EP - 90
BT - SCC 2017 - Proceedings of the 5th ACM International Workshop on Security in Cloud Computing, co-located with ASIA CCS 2017
PB - Association for Computing Machinery, Inc
T2 - 5th ACM International Workshop on Security in Cloud Computing, SCC 2017
Y2 - 2 April 2017
ER -