AIS transmission data quality: Identification of attack vectors

Danny McFadden, Ruth Lennon, John O'Raw

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

Due to safety concerns and legislation implemented by various governments, the maritime sector adopted Automatic Identification System (AIS). Whilst governments and state agencies have an increasing reliance on AIS data, the underlying technology can be found to be fundamentally insecure. This study identifies and describes a number of potential attack vectors and suggests conceptual countermeasures to mitigate such attacks. With interception by Navy and Coast Guard as well as marine navigation and obstacle avoidance, the vulnerabilities within AIS call into question the multiple deployed overlapping AIS networks, and what the future holds for the protocol.

Original languageEnglish
Title of host publicationProceedings of ELMAR 2019 - 61st International Symposium ELMAR 2019
EditorsMario Mustra, Josip Vukovic, Branka Zovko-Cihlar
PublisherCroatian Society Electronics in Marine - ELMAR
Pages187-190
Number of pages4
ISBN (Electronic)9781728121826
DOIs
Publication statusPublished - Sep 2019
Event61st International Symposium ELMAR, ELMAR 2019 - Zadar, Croatia
Duration: 23 Sep 201925 Sep 2019

Publication series

NameProceedings Elmar - International Symposium Electronics in Marine
Volume2019-September
ISSN (Print)1334-2630

Conference

Conference61st International Symposium ELMAR, ELMAR 2019
Country/TerritoryCroatia
CityZadar
Period23/09/1925/09/19

Keywords

  • AIS
  • Attack Vectors
  • Data Quality
  • Security

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