Privacy-preserving detection of anomalous phenomena in crowdsourced environmental sensing

INIS

• data 100%
• detection 66%
• information 33%
• adversaries 33%
• capture 16%
• monitoring 16%
• devices 16%
• forests 16%
• applications 16%
• water 16%
• availability 16%
• precision 16%
• safety 16%
• carbon dioxide 16%
• distribution 16%
• emergencies 16%
• leaks 16%
• weather 16%
• concentration 16%
• construction 16%
• sensors 16%
• velocity 16%
• accuracy 16%
• fires 16%
• acceleration 16%
• budgets 16%
• accidents 16%

Computer Science

• Detection 66%
• Privacy Preserving 50%
• Experimental Result 16%
• Availability 16%
• Mobile Device 16%
• Simulation Mode 16%
• Traffic Analysis 16%
• Reveal Information 16%
• Acceleration Sensor 16%
• Differential Privacy 16%
• Index Structure 16%
• Velocity-Sensor 16%
• Application Scenario 16%
• User 16%
• Events 16%
• Domains 16%
• Accuracy 16%
• Semantics 16%
• Accidents 16%