Name
Abstract | ||
|---|---|---|
In this paper, we consider privacy challenges in event-driven pervasive spaces where multimedia streams captured by sensors embedded in the infrastructure are used to detect a variety of application-specific media events. In particular, we develop techniques to detect events without disclosing any identifying information unless necessary. We characterize the nature of inference channels that arise and model privacy preserving event detection as an optimization problem that attempts to balance disclosure with performance. We design and test efficient communication protocols that realize this tradeoff. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/PERCOM.2009.4912772 | Galveston, TX |
Keywords | Field | DocType |
typical adaptive middleware approach,privacy-preserving event detection,middleware platform,sophisticated component model semantics,demand fault-tolerance,pervasive space,dynamic environment,pervasive application,media,biosensors,data privacy,sensors,ubiquitous computing,automata,face detection,protocols,cryptography,optimization problem,privacy,communication protocol,servers | Computer security,Inference,Cryptography,Computer science,Server,Media event,Face detection,Ubiquitous computing,Information privacy,Communications protocol | Conference |
ISSN | ISBN | Citations |
2474-2503 | temp-isbn | 6 |
PageRank | References | Authors |
0.43 | 31 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bijit Hore | 1 | 524 | 24.30 |
| Jehan Wickramasuriya | 2 | 437 | 31.34 |
| Sharad Mehrotra | 3 | 7097 | 1001.95 |
| Nalini Venkatasubramanian | 4 | 1426 | 137.46 |
| Daniel Massaguer | 5 | 65 | 6.45 |