Oct 30, 2017 · It is particularly worth noting that no big brother exists, meaning that no single entity can identify users, while bad behaviors are always ...
Thus, detecting anomalies without revealing normal users-identities is quite important for operating information systems using personal data. Though various ...
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A privacy preserving anomaly detection framework that allows an authority to detect adversarial users while other honest users are kept anonymous and the ...
A Framework of Privacy Preserving Anomaly Detection: Providing Traceability without Big Brother. Hiromi Arai. RIKEN Center for Advanced. Intelligence Project.
Visible to the public A Framework of Privacy Preserving Anomaly Detection: Providing Traceability Without Big Brother ; ISBN Number, 978-1-4503-5175-1 ; Keywords ...
A framework of privacy preserving anomaly detection: Providing traceability without big brother. WPES 2017 - Proceedings of the 2017 Workshop on Privacy in ...
Bibliographic details on A Framework of Privacy Preserving Anomaly Detection: Providing Traceability without Big Brother.
from publication: A Framework of Privacy Preserving Anomaly Detection: Providing Traceability without Big Brother | Collecting and analyzing personal data ...
A Framework of Privacy Preserving Anomaly Detection: Providing Traceability without Big Brother. H Arai, K Emura, T Hayashi. WPES 2017, 111-122, 2017. 6, 2017.
[1] H. Arai, K. Emura, and T. Hayashi, “A framework of privacy preserving anomaly detection: Providing traceability without big brother,” Workshop on Privacy in ...