Defining Strong Privacy for RFID

By Ari Juels, Stephen A. Weis. Fifth Annual IEEE International Conference on Pervasive Computing and Communications Workshops (PerComW'07), 2007

466 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering, Media Technology

View Paper: https://www.semanticscholar.org/paper/b7757e400b54e8e4015885fa21f76b13cea40109

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Serge Vaudenay
2. Isabel Wagner
3. Ari Juels
4. David Eckhoff
5. Jean-Pierre Hubaux
6. Wenbo Mao

In Electrical and Electronic Engineering

1. Serge Vaudenay
2. Isabel Wagner
3. Ari Juels
4. David Eckhoff
5. Wenbo Mao

In Media Technology

1. Serge Vaudenay
2. Ari Juels
3. Jean-Pierre Hubaux
4. Stephen A. Weis

Citations in the corpus

• On Privacy Models for RFID (2007, background): “In this model, corrupted tags can be the victims of tracing attacks, contrarily to the model of Juels-Weis [24] and Burmester-van Le-de Medeiros [8].”
• Technical Privacy Metrics (2015, background): “The adversary has an advantage if they can do this with a probability that is non-negligibly greater than , that is, if their probability is better than a random guess [Juels and Weis 2009].”
• RFID security and privacy: a research survey (2006, methodology): “1) Vulnerability in OSK and ADO: A simple, practical attack against the privacy of the OSK and ADO schemes has been recently noted in [ 62 ].”