A Backwards Compatible Approach to Authenticate Automatic Identification System Messages

Struck, Malte Christian; Stoppe, Jannis

doi:10.1109/csr51186.2021.9527954

Cited by 2 publications

(2 citation statements)

References 9 publications

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“…However, a separate VHF Data Exchange System (VDES) side channel is required to carry PKC digital signatures. Several backwards-compatible signature schemes for AIS messages are reviewed and compared concerning their applicability in [31].…”

Section: Related Workmentioning

confidence: 99%

Secure Automatic Identification System (SecAIS): Proof-of-Concept Implementation

Goudosis

Katsikas

2022

JMSE

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The automatic identification system (AIS), despite its importance in worldwide navigation at sea, does not provide any defence mechanisms against deliberate misuse, e.g., by sea pirates, terrorists, business adversaries, or smugglers. Previous work has proposed an international maritime identity-based cryptographic infrastructure (mIBC) as the foundation upon which the offer of advanced security capabilities for the conventional AIS can be built. The proposed secure AIS (SecAIS) does not require any modifications to the existing AIS infrastructure, which can still be used for normal operations. Security-enhanced AIS messages enjoying source authentication, encryption, and legitimate pseudo-anonymization can be handled on an as-needed basis. This paper reports on a proof-of-concept implementation of the SecAIS. Specifically, we report on the implementation of the SecAIS over an mIBC founded on the RFC6507 (ECCSI) and the RFC6508 (SAKKE) standards, and we discuss the results of performance tests with this implementation. The tests indicate that the SecAIS is a feasible solution that does not affect the conventional AIS infrastructure and has an affordable operational cost.

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Section: Related Workmentioning

confidence: 99%

Secure Automatic Identification System (SecAIS): Proof-of-Concept Implementation

Goudosis

Katsikas

2022

JMSE

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“…This leaves room for real-time systems to analyse the situation several times per second and therefore help to prevent or respond to complications. Moreover, since it is an open standard, AIS presents some vulnerabilities to cyber threats, which include spoofing, highjacking attacks or denial of service [ 5 , 6 , 7 , 8 , 9 ].…”

Section: Introductionmentioning

confidence: 99%

Ship Segmentation and Georeferencing from Static Oblique View Images

Carrillo-Perez¹,

Barnes²,

Stephan³

2022

Sensors

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Camera systems support the rapid assessment of ship traffic at ports, allowing for a better perspective of the maritime situation. However, optimal ship monitoring requires a level of automation that allows personnel to keep track of relevant variables in the maritime situation in an understandable and visualisable format. It therefore becomes important to have real-time recognition of ships present at the infrastructure, with their class and geographic position presented to the maritime situational awareness operator. This work presents a novel dataset, ShipSG, for the segmentation and georeferencing of ships in maritime monitoring scenes with a static oblique view. Moreover, an exploration of four instance segmentation methods, with a focus on robust (Mask-RCNN, DetectoRS) and real-time performances (YOLACT, Centermask-Lite) and their generalisation to other existing maritime datasets, is shown. Lastly, a method for georeferencing ship masks is proposed. This includes an automatic calculation of the pixel of the segmented ship to be georeferenced and the use of a homography to transform this pixel to geographic coordinates. DetectoRS provided the highest ship segmentation mAP of 0.747. The fastest segmentation method was Centermask-Lite, with 40.96 FPS. The accuracy of our georeferencing method was (22±10) m for ships detected within a 400 m range, and (53±24) m for ships over 400 m away from the camera.

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A Backwards Compatible Approach to Authenticate Automatic Identification System Messages

Cited by 2 publications

References 9 publications

Secure Automatic Identification System (SecAIS): Proof-of-Concept Implementation

Secure Automatic Identification System (SecAIS): Proof-of-Concept Implementation

Ship Segmentation and Georeferencing from Static Oblique View Images

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