Please use this identifier to cite or link to this item:
https://doi.org/10.1145/2093973.2094055
DC Field | Value | |
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dc.title | ASSIST: Access controlled ship identification streams | |
dc.contributor.author | Malhotra, B. | |
dc.contributor.author | Tan, W.-J. | |
dc.contributor.author | Cao, J. | |
dc.contributor.author | Kister, T. | |
dc.contributor.author | Bressan, S. | |
dc.contributor.author | Tan, K.-L. | |
dc.date.accessioned | 2013-07-23T09:27:18Z | |
dc.date.available | 2013-07-23T09:27:18Z | |
dc.date.issued | 2011 | |
dc.identifier.citation | Malhotra, B.,Tan, W.-J.,Cao, J.,Kister, T.,Bressan, S.,Tan, K.-L. (2011). ASSIST: Access controlled ship identification streams. GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems : 485-488. ScholarBank@NUS Repository. <a href="https://doi.org/10.1145/2093973.2094055" target="_blank">https://doi.org/10.1145/2093973.2094055</a> | |
dc.identifier.isbn | 9781450310314 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/43185 | |
dc.description.abstract | The International Maritime Organization (IMO) requires a majority of cargo and passenger ships to use the Automatic Identification System (AIS) for navigation safety and traffic control. Distributing live AIS data on the Internet can offer a global view based on ships' status for both operational and analytical purposes to port authorities, shipping and insurance companies, cargo owners and ship captains and other stakeholders. Yet, uncontrolled, this distribution can seriously undermine navigation safety and security and the privacy of the various stakeholders. In this paper we present ASSIST, a system prototype based on our recently proposed access control framework, to protect data streams from unauthorized access. We demonstrate the effectiveness of the system in a real scenario with real AIS data streams. © 2011 Authors. | |
dc.description.uri | http://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1145/2093973.2094055 | |
dc.source | Scopus | |
dc.type | Conference Paper | |
dc.contributor.department | COMPUTER SCIENCE | |
dc.contributor.department | CTR FOR REM IMAGING,SENSING & PROCESSING | |
dc.description.doi | 10.1145/2093973.2094055 | |
dc.description.sourcetitle | GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems | |
dc.description.page | 485-488 | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Staff Publications |
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