Securing the Borealis Data Stream Engine
IDEAS '06 Proceedings of the 10th International Database Engineering and Applications Symposium
On-line trajectory clustering for anomalous events detection
Pattern Recognition Letters
A Security Punctuation Framework for Enforcing Access Control on Streaming Data
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
A framework to enforce access control over data streams
ACM Transactions on Information and System Security (TISSEC)
Real-time spatio-temporal analytics using Microsoft StreamInsight
Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems
Clustering vessel trajectories with alignment kernels under trajectory compression
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part I
Geospatial stream query processing using Microsoft SQL Server StreamInsight
Proceedings of the VLDB Endowment
Publishing trajectories with differential privacy guarantees
Proceedings of the 25th International Conference on Scientific and Statistical Database Management
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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.