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Towards Statistically Strong Source Anonymity for Sensor Networks

This paper outlines the concept of statistically strong source anonymity for sensor networks and introduces FixPropRate as a realization scheme. Published in INFOCOMM 2008, the authors from The Pennsylvania State University address the need to enhance source anonymity in networks with limited resources.

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Towards Statistically Strong Source Anonymity for Sensor Networks

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  1. Towards Statistically Strong Source Anonymity for Sensor Networks Min Shao, Yi Yang, Sencunzhu, Guohang Cao

  2. Outline

  3. Paper Information • Published in • INFOCOMM 2008 • Year: 2005 • Authors • Min Shao; The Pennsylvania State University • Yi Yang; The Pennsylvania State University • Sencun Zhu; The Pennsylvania State University • Guahong Cao; The Pennsylvania State University

  4. Motivation • Sensor Networks have scarce resources in energy, computation and communication; and there is a great need to provide source anonymity .

  5. Main Contribution • Provide the notion of statistically strong source anonymity for sensor networks • Devise a realization scheme called FixPropRate.

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