ASSIST: Access Controlled Ship Identification Streams
| dc.contributor.author | CAO, Jianneng | en_US |
| dc.contributor.author | KISTER, Thomas | en_US |
| dc.contributor.author | XIANG, Shili | en_US |
| dc.contributor.author | MALHOTRA, Baljeet | en_US |
| dc.contributor.author | TAN, Wee-Juan | en_US |
| dc.contributor.author | TAN, Kian-Lee | en_US |
| dc.contributor.author | BRESSAN, Stéphane | en_US |
| dc.date.accessioned | 2013-02-08T04:32:24Z | en_US |
| dc.date.accessioned | 2017-01-23T07:00:06Z | |
| dc.date.available | 2013-02-08T04:32:24Z | en_US |
| dc.date.available | 2017-01-23T07:00:06Z | |
| dc.date.issued | 2013-02-08T04:32:24Z | en_US |
| 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 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, an application system based on our recently proposed access control framework, to protect streaming data from unauthorized access. Furthermore, we have implemented ASSIST on top of StreamInsight, a commercial stream engine. The extensive experimental results show that our solution is more effective and efficient than existing approaches. | en_US |
| dc.format.extent | 812868 bytes | en_US |
| dc.format.mimetype | application/pdf | en_US |
| dc.identifier.uri | https://dl.comp.nus.edu.sg/xmlui/handle/1900.100/3883 | en_US |
| dc.language.iso | en | en_US |
| dc.relation.ispartofseries | ;TRA2/13 | en_US |
| dc.title | ASSIST: Access Controlled Ship Identification Streams | en_US |
| dc.type | Technical Report | en_US |