Securing Offshore Installations Against Automatic Identification System Spoofing

Grzegorz Jacek Kot; Weizhi Meng; Brooke Lampe

doi:10.1109/GLOBECOM54140.2023.10437123

Securing Offshore Installations Against Automatic Identification System Spoofing

Grzegorz Jacek Kot, Weizhi Meng, Brooke Lampe

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

The AIS (Automatic Identification System) is a maritime navigation safety communication system that transmits data, such as vessel location and identification, both to nearby vessels and to coastal facilities. Unfortunately, AIS spoofing is a growing concern: malicious actors could transmit false AIS messages in order to mislead vessels and potentially cause accidents. In this work, we developed a tool for AIS message validation. Under evaluation, the tool delivered promising results in terms of AIS spoofing detection and prevention, thereby demonstrating the tool's efficacy and potential to complement existing detection and prevention techniques.

Original language	English
Title of host publication	Proceedings of the 2023 IEEE Global Communications Conference (GLOBECOM)
Publisher	IEEE
Publication date	2023
Pages	4473-4478
ISBN (Print)	979-8-3503-1091-7
ISBN (Electronic)	979-8-3503-1090-0
DOIs	https://doi.org/10.1109/GLOBECOM54140.2023.10437123
Publication status	Published - 2023
Event	2023 IEEE Global Communications Conference - Kuala Lumpur, Malaysia Duration: 4 Dec 2023 → 8 Dec 2023

Conference

Conference	2023 IEEE Global Communications Conference
Country/Territory	Malaysia
City	Kuala Lumpur
Period	04/12/2023 → 08/12/2023

Keywords

Maritime Security
Automatic Identification System
Spoofing Attack
Message Validation
Offshore Asset

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10.1109/GLOBECOM54140.2023.10437123

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@inproceedings{fec9f6f1efd64d10b3a40f63547b7acc,

title = "Securing Offshore Installations Against Automatic Identification System Spoofing",

abstract = "The AIS (Automatic Identification System) is a maritime navigation safety communication system that transmits data, such as vessel location and identification, both to nearby vessels and to coastal facilities. Unfortunately, AIS spoofing is a growing concern: malicious actors could transmit false AIS messages in order to mislead vessels and potentially cause accidents. In this work, we developed a tool for AIS message validation. Under evaluation, the tool delivered promising results in terms of AIS spoofing detection and prevention, thereby demonstrating the tool's efficacy and potential to complement existing detection and prevention techniques.",

keywords = "Maritime Security, Automatic Identification System, Spoofing Attack, Message Validation, Offshore Asset",

author = "Kot, {Grzegorz Jacek} and Weizhi Meng and Brooke Lampe",

year = "2023",

doi = "10.1109/GLOBECOM54140.2023.10437123",

language = "English",

isbn = "979-8-3503-1091-7",

pages = "4473--4478",

booktitle = "Proceedings of the 2023 IEEE Global Communications Conference (GLOBECOM)",

publisher = "IEEE",

address = "United States",

note = "2023 IEEE Global Communications Conference, GLOBECOM ; Conference date: 04-12-2023 Through 08-12-2023",

}

TY - GEN

T1 - Securing Offshore Installations Against Automatic Identification System Spoofing

AU - Kot, Grzegorz Jacek

AU - Meng, Weizhi

AU - Lampe, Brooke

PY - 2023

Y1 - 2023

N2 - The AIS (Automatic Identification System) is a maritime navigation safety communication system that transmits data, such as vessel location and identification, both to nearby vessels and to coastal facilities. Unfortunately, AIS spoofing is a growing concern: malicious actors could transmit false AIS messages in order to mislead vessels and potentially cause accidents. In this work, we developed a tool for AIS message validation. Under evaluation, the tool delivered promising results in terms of AIS spoofing detection and prevention, thereby demonstrating the tool's efficacy and potential to complement existing detection and prevention techniques.

AB - The AIS (Automatic Identification System) is a maritime navigation safety communication system that transmits data, such as vessel location and identification, both to nearby vessels and to coastal facilities. Unfortunately, AIS spoofing is a growing concern: malicious actors could transmit false AIS messages in order to mislead vessels and potentially cause accidents. In this work, we developed a tool for AIS message validation. Under evaluation, the tool delivered promising results in terms of AIS spoofing detection and prevention, thereby demonstrating the tool's efficacy and potential to complement existing detection and prevention techniques.

KW - Maritime Security

KW - Automatic Identification System

KW - Spoofing Attack

KW - Message Validation

KW - Offshore Asset

U2 - 10.1109/GLOBECOM54140.2023.10437123

DO - 10.1109/GLOBECOM54140.2023.10437123

M3 - Article in proceedings

SN - 979-8-3503-1091-7

SP - 4473

EP - 4478

BT - Proceedings of the 2023 IEEE Global Communications Conference (GLOBECOM)

PB - IEEE

T2 - 2023 IEEE Global Communications Conference

Y2 - 4 December 2023 through 8 December 2023

ER -

Securing Offshore Installations Against Automatic Identification System Spoofing

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