IP Library Granted Patent US 12,641,433
Granted Patent B2
US 12,641,433 · App. 17/534,135 · Granted May 26, 2026

Identification of replayed maritime voyages

Inventors: Dror Salzman (Tel Aviv, IL); Shay Amram (Herzliya, IL)
Assignee: Windward LTD.
H04W12/122G08G3/00
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Quick Facts
Patent No.
US 12,641,433
App. No.
17/534,135
Granted
May 26, 2026
Kind
B2
Abstract

A method, product and system for identifying replayed maritime voyages. The method comprises obtaining location-reporting signals of a maritime vessel, reporting one or more respective sets of geographical coordinates. The method comprises determining that the location-reporting signals are at least partially fabricated, based on an identification that the location-reporting signals are part of a replayed voyage. The method further comprises performing an appropriate responsive action in response to determination of the fabricated signals.

Claims (31)

1 . A method comprising:

obtaining one or more location-reporting signals of a maritime vessel, wherein the one or more location-reporting signals comprise one or more respective sets of geographical coordinates, each of which having a timestamp, wherein the one or more location-reporting signals comprise one or more respective Automatic Identification System (AIS) signals, wherein the one or more AIS signals are generated by at least one AIS transceiver of the maritime vessel;

determining that the one or more location-reporting signals are at least partially fabricated, wherein said determining is based on an identification that the one or more location-reporting signals are part of a replayed voyage; and

performing a responsive action in response to said determining that the one or more location-reporting signals are at least partially fabricated, wherein the responsive action comprises instructing a sensor to obtain a new reading at a location associated with the at least partially fabricated location-reporting signals, wherein the sensor is associated with at least one of: a satellite, or a drone.

2 . The method of claim 1 , wherein the identification that the one or more location-reporting signals are part of the replayed voyage is performed based on historic travels and by identifying re-usages of past travels of vessels.

3 . The method of claim 1 , wherein the identification is based on a similarity measurement between a voyage represented by the one or more location-reporting signals and one or more historic voyages.

4 . The method of claim 1 , wherein the one or more location-reporting signals are part of the replayed voyage, wherein the one or more location-reporting signals are generated using the replayed voyage and while introducing a random or pseudo-random factor.

5 . The method of claim 1 , wherein the identification is based on a detection of inconsistency between the replayed voyage and information reported from other vessels at a same area and at a same timeframe.

6 . The method of claim 1 , wherein the identification is based on a determination that an estimated number of observations of the replayed voyage is above a threshold, wherein the estimated number of observations is a number of times a reported voyage that is within a similarity measurement from the replayed voyage was reported by a vessel.

7 . The method of claim 1 , wherein the responsive action comprises alerting a user to disassociate from the maritime vessel.

8 . The method of claim 1 comprising verifying that the one or more location-reporting signals are at least partially fabricated based on images, wherein the images depict the one or more sets of geographical coordinates during the one or more timestamps, wherein the images are absent of an object depicting the maritime vessel.

9 . The method of claim 1 , wherein the at least partially fabricated location-reporting signals are associated with a timeframe, wherein the responsive action comprises: obtaining the new reading to confirm or refute the determination.

10 . The method of claim 1 , wherein the responsive action comprises: predicting a true path of the maritime vessel, wherein the true path of the maritime vessel is predicted using an initial location and a finial location, wherein the initial location and the final location are determined at a beginning and end, respectively, of a consecutive set of fabricated location-reporting signals of the maritime vessel, wherein the true path begins at the initial location and ends at the final location and is different than a path derived directly from the locations reported in the consecutive set of fabricated location-reporting signals of the maritime vessel.

11 . A non-transitory computer readable medium retaining instructions, which instructions, when read by a processor, cause the processor to perform:

obtaining one or more location-reporting signals of a maritime vessel, wherein the one or more location-reporting signals comprise one or more respective sets of geographical coordinates, each of which having a timestamp, wherein the one or more location-reporting signals comprise one or more respective Automatic Identification System (AIS) signals, wherein the one or more AIS signals are generated by at least one AIS transceiver of the maritime vessel;

determining that the one or more location-reporting signals are at least partially fabricated, wherein said determining is based on an identification that the one or more location-reporting signals are part of a replayed voyage; and

performing a responsive action in response to said determining that the one or more location-reporting signals are at least partially fabricated, wherein the responsive action comprises instructing a sensor to obtain a new reading at a location associated with the at least partially fabricated location-reporting signals, wherein the sensor is associated with at least one of: a satellite, or a drone.

12 . The non-transitory computer readable medium of claim 11 , wherein the identification that the one or more location-reporting signals are part of the replayed voyage is performed based on historic travels and by identifying re-usages of past travels of vessels.

13 . The non-transitory computer readable medium of claim 11 , wherein the identification is based on a similarity measurement between a voyage represented by the one or more location-reporting signals and one or more historic voyages.

14 . The non-transitory computer readable medium of claim 11 , wherein the one or more location-reporting signals are part of the replayed voyage, wherein the one or more location-reporting signals are generated using the replayed voyage and while introducing a random or pseudo-random factor.

15 . The non-transitory computer readable medium of claim 11 , wherein the identification is based on a detection of inconsistency between the replayed voyage and information reported from other vessels at a same area and at a same timeframe.

16 . The non-transitory computer readable medium of claim 11 , wherein the identification is based on a determination that an estimated number of observations of the replayed voyage is above a threshold, wherein the estimated number of observations is a number of times a reported voyage that is within a similarity measurement from the replayed voyage was reported by a vessel.

17 . A system comprising a processor and a memory, wherein the processor is configured to perform:

obtaining one or more location-reporting signals of a maritime vessel, wherein the one or more location-reporting signals comprise one or more respective sets of geographical coordinates, each of which having a timestamp, wherein the one or more location-reporting signals comprise one or more respective Automatic Identification System (AIS) signals, wherein the one or more AIS signals are generated by at least one AIS transceiver of the maritime vessel;

determining that the one or more location-reporting signals are at least partially fabricated, wherein said determining is based on an identification that the one or more location-reporting signals are part of a replayed voyage; and

performing a responsive action in response to said determining that the one or more location-reporting signals are at least partially fabricated, wherein the responsive action comprises instructing a sensor to obtain a new reading at a location associated with the at least partially fabricated location-reporting signals, wherein the sensor is associated with at least one of: a satellite, or a drone.

18 . The system of claim 17 , wherein the identification that the one or more location-reporting signals are part of the replayed voyage is performed based on historic travels and by identifying re-usages of past travels of vessels.

19 . The system of claim 17 , wherein the identification is based on a similarity measurement between a voyage represented by the one or more location-reporting signals and one or more historic voyages.

20 . The system of claim 17 , wherein the one or more location-reporting signals are part of the replayed voyage, wherein the one or more location-reporting signals are generated using the replayed voyage and while introducing a random or pseudo-random factor.

21 . The system of claim 17 , wherein the identification is based on a detection of inconsistency between the replayed voyage and information reported from other vessels at a same area and at a same timeframe.

22 . The system of claim 17 , wherein the identification is based on a determination that an estimated number of observations of the replayed voyage is above a threshold, wherein the estimated number of observations is a number of times a reported voyage that is within a similarity measurement from the replayed voyage was reported by a vessel.

Assignments (2)
SECURITY INTEREST Recorded Mar 18, 2025
From: WINDWARD LTD
To: GLAS TRUST CORPORATION LIMITED, AS COLLATERAL AGENT
Reel/Frame 070550/0088 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 24, 2021
From: SALZMAN, DROR; AMRAM, SHAY
To: WINDWARD LTD.
Reel/Frame 058206/0223 →
Continuity (1)
Related Publication 20230164565A1 · May 25, 2023
References Cited (25)
US 20080164984A1 · Sheffer · 2008 [cited by applicant]
US 20080258960A1 · Rosenberg · 2008 [cited by examiner]
US 20150166163A1 · Longson · 2015 [cited by examiner]
US 20170102466A1 · Petkus · 2017 [cited by examiner]
US 20170285178A1 · Platzer et al. · 2017 [cited by applicant]
US 20180201348A1 · Delay et al. · 2018 [cited by applicant]
US 20190391277A1 · Ernandes · 2019 [cited by examiner]
US 20200184828A1 · Mazor et al. · 2020 [cited by applicant]
US 20200264268A1 · Moore et al. · 2020 [cited by applicant]
US 20210109235A1 · Anderson et al. · 2021 [cited by applicant]
CN 110221319A · 2019 [cited by applicant]
CN 112991820A · 2021 [cited by applicant]
EP 3109659A1 · 2016 [cited by applicant]
WO WO2006136157A1 · 2006 [cited by examiner]
WO 2020115731A1 · 2020 [cited by applicant]
Mark L. Psiaki, et.al. “GNSS Spoofing Detection Using Two-Antenna Differential Carrier Phase”, Preprint Form ION GNSS + 2014 (Year: 2014). [cited by examiner]
International Search Report issued for International Patent Application No. PCT/IL2022/051171, mailed on Feb. 14, 2023. [cited by applicant]
Iphar et al., “An expert-based method for the risk assessment of anomalous maritime transportation data” Applied Ocean Research, Nov. 30, 2020; vol. 104, No. 102337; pp. 1-51; Retrieved from the Internet: <URL: http:''/… [cited by applicant]
Shahir et al., “Mining Vessel Trajectories for Illegal Fishing Detection”; IEEE International Conference on Big Data (Big Data); IEEE, Dec. 12, 2019; pp. 1917-1927; Retrieved from the Internet: <URL: https://ieeexplore.… [cited by applicant]
Mazzarella et al., “AIS Reception Characterisation for AIS on/off Anomaly Detection”; 19th International Conference on Information Fusion (FUSION); Jul. 2016 ; pp. 1-8; IEEE; Retrieved from the Internet: <URL: https://w… [cited by applicant]
Papi et al., “Radiolocation and Tracking of Automatic Identification System Signals for Maritime Situational Awareness.” IET Radar, Sonar & Navigation 9.5 (2015): pp. 568-580; Retrieved from the Internet: <URL: https/ie… [cited by applicant]
Iphar et al., “Uses and misuses of the automatic identification system” OCeAnS 2019—Marseille, IEEE, 2019; Retrieved from the Internet: <URL: https://hal-mines-paristech.archives-ouvertes.fr/hal-03736713/document>, Oct.… [cited by applicant]
Obradovic et al., “Machine leaning approaches to maritime anomaly detection.” Nase more: 61.5-6 (2014): 96-101; Retrieved from the Internet: <URL: https://hrcak.srce.hr/file/192572>, Oct. 7, 2014. [cited by applicant]
Patroumpas et al., “Online event recognition from moving vessel trajectories.” GeoInformatica 21 (2017): 389-427; Retrieved from the Internet: <URL: https://link.springer.com/article/10.1007/s10707-016-0266-x>, Aug. 16,… [cited by applicant]
Cretin et al., “Test data generation for false data injection attack testing in air traffic surveillance.” 2020 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW). IEEE, 202… [cited by applicant]