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UID:c3a93a8d2e417ec8fa1c5fea0aeea8b2
DTSTAMP:20260516T150317Z
SUMMARY:AIS data use and misuse: analysis and open-source intelligence
DESCRIPTION:Brought to you by the Institute for Security Science and Techno
 logy (ISST) and the Royal United Services Institute (RUSI)\, this event wi
 ll have two briefings on how ship AIS (automatic identification system) da
 ta can be used and misused.\nSince 2004\, AIS systems have been compulsory
  for vessels over 300 tonnes for safety and vessel monitoring for commerci
 al purposes. The large amounts of data generated create challenges in data
  analysis for vessel tracking etc. but also present sources of open-source
  intelligence. At the same time\, AIS data can be misused in illicit activ
 ities in a variety of contexts\, including vessel identification swapping 
 for sanctions evasion.\nThe two talks will introduce work on this topic wh
 ich is ongoing at Imperial College London and the Royal United Services In
 stitute. There will be time for a Q&A after the talks.\nThe event is open 
 to anyone interested in the topics of AIS data\, data analysis and open-so
 urce intelligence. We especially encourage early career academics / profes
 sionals to attend.\nBriefings summaries and speaker bios\nTalk 1: Distribu
 ted Processing of Maritime Trajectory Data\nThe talk will focus on how to 
 leverage the power of distributed computing to enable efficient and scalab
 le processing of trajectory datasets\, specifically maritime AIS datasets.
  We first provide a short introduction to AIS data generation before brief
 ly discuss the importance of distributed computing for processing large AI
 S datasets. We then present our ideas on how to design a distributed syste
 m for AIS trajectories with our work on distance joins. Finally\, we provi
 de some ideas for future works.\nSpeaker bio: Guang Yang is a PhD student 
 in the Department of Computing at Imperial College London\, under the supe
 rvision of Dr Thomas Heinis. His work focuses on distributed systems\, lea
 rned based indexes\, databases\, big data management and the application o
 f big data to traffic and maritime sectors. Guang previously completed his
  MEng degree with first-class honours in the Department of Civil Engineeri
 ng at Imperial College London.\nTalk 2: AIS Manipulation\, Illicit Activit
 y and OSINT (open-source intelligence)\nThis talk will focus on the ways i
 llicit actors evade methods of tracking vessels for illicit activity. It w
 ill also look at recent advances in AIS manipulation and discuss several s
 ecurity implications for these developments.\nSpeaker bio: Joe Byrne is a 
 Research Analyst in the Proliferation and Nuclear Policy team at the Royal
  United Services Institute (RUSI).
URL:https://www.imperial.ac.uk/events/139156/ais-data-use-and-misuse-analys
 is-and-open-source-intelligence/
DTSTART;TZID=Europe/London:20210930T140000
DTEND;TZID=Europe/London:20210930T150000
LOCATION:United Kingdom
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DTSTART:20210930T140000
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