The networked sensor tapestry (NeST): a privacy enhanced software architecture for interactive analysis of data in video-sensor networks

  • Authors:
  • Douglas A. Fidaleo;Hoang-Anh Nguyen;Mohan Trivedi

  • Affiliations:
  • University of California San Diego, La Jolla, CA;University of California San Diego, La Jolla, CA;University of California San Diego, La Jolla, CA

  • Venue:
  • Proceedings of the ACM 2nd international workshop on Video surveillance & sensor networks
  • Year:
  • 2004

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Abstract

This paper details the architecture of a test-bed under development for secure sharing, capture, distributed processing, and archiving of surveillance data called the Networked Sensor Tapestry (NeST). The test-bed consists of core software modules including a centralized server, client interface library, a layered XML messaging scheme. Mobile hardware clients are interfaced to the NeST using a Tiny-OS based microcontroller with sensor data collected over a 1-wire data bus. Maintaining subject privacy in video and other sensor monitoring scenarios can be imperative for the successful deployment of surveillance networks. Subject privacy is integrated into the architecture and can (if desired) operate as a buffer to the server core, denying access to identity specific information to any or all modules or operators. We introduce 3 fundamental privacy concepts: The privacy buffer: is a core component of the NeST server and utilizes programmable plug-in privacy filters operating on incoming sensor data to prevent access to or transform data to remove personally identifiable information. These privacy filters are developed and specified using a privacy grammar that can connect multiple low-level data filters and features to create arbitrary data-dependent privacy definitions. The utility of the architecture is demonstrated with a connection to a variety of hardware/software clients including PDA based client hardware, remote sensor interface devices, software modules for sensor data inferencing, data visualization, sensor control and data archival applications.