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CIDM
2007
IEEE
13 years 11 months ago
Privacy Preserving Burst Detection of Distributed Time Series Data Using Linear Transforms
— In this paper, we consider burst detection within the context of privacy. In our scenario, multiple parties want to detect a burst in aggregated time series data, but none of t...
Lisa Singh, Mehmet Sayal
SP
2005
IEEE
156views Security Privacy» more  SP 2005»
13 years 10 months ago
Distributed Detection of Node Replication Attacks in Sensor Networks
The low-cost, off-the-shelf hardware components in unshielded sensor-network nodes leave them vulnerable to compromise. With little effort, an adversary may capture nodes, analyze...
Bryan Parno, Adrian Perrig, Virgil D. Gligor
IBMRD
2011
112views more  IBMRD 2011»
12 years 12 months ago
Sensor Andrew: Large-scale campus-wide sensing and actuation
—We present Sensor Andrew, a multi-disciplinary campus-wide scalable sensor network that is designed to host a wide range of sensor, actuator and low-power applications. The goal...
Anthony Rowe, Mario Berges, Gaurav Bhatia, Ethan G...
SP
2008
IEEE
176views Security Privacy» more  SP 2008»
13 years 11 months ago
Casting out Demons: Sanitizing Training Data for Anomaly Sensors
The efficacy of Anomaly Detection (AD) sensors depends heavily on the quality of the data used to train them. Artificial or contrived training data may not provide a realistic v...
Gabriela F. Cretu, Angelos Stavrou, Michael E. Loc...
SIGKDD
2008
125views more  SIGKDD 2008»
13 years 4 months ago
Incremental pattern discovery on streams, graphs and tensors
Incremental pattern discovery targets streaming applications where the data continuously arrive incrementally. The questions are how to find patterns (main trends) incrementally; ...
Jimeng Sun