Distributed privacy for visual sensor networks via Markov shares

  title={Distributed privacy for visual sensor networks via Markov shares},
  author={William Luh and Deepa Kundur},
  journal={Second IEEE Workshop on Dependability and Security in Sensor Networks and Systems},
  pages={10 pp.-34}
Visual sensor networks (VSNs) can be used to acquire visual data (i.e. images) for applications such as military reconnaissance, surveillance, and monitoring. In these applications, it is of utmost importance that visual data be protected against eavesdropping to uphold confidentiality and privacy rights. Furthermore, protection mechanisms for these sensor nodes must be efficient and robust to node capture and tampering. This paper considers a distributed approach to privacy in which highly… CONTINUE READING
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