Compromising Location Privacy inWireless Networks Using Sensors with Limited Information Conference Paper

abstract

• We propose a methodology to identify nodes in fully anonymized wireless networks using collections of very simple sensors. Based on time series of counts of anonymous packets provided by the sensors, we estimate the number of nodes using Principal Component Analysis. We then proceed to separate the collected packet data into traffic flows that, with help of the spatial diversity in the available sensors, can be used to estimate the location of the wireless nodes. Our simulation experiments indicate that the estimators show high accuracy and high confidence for anonymized TCP traffic. Additional experiments indicate that the estimators perform very well in anonymous wireless networks that use traffic padding. 2007 IEEE.

name of conference

• 27th International Conference on Distributed Computing Systems (ICDCS '07)

authors

• Bettati, Riccardo

published proceedings

• 2020 IEEE 40th International Conference on Distributed Computing Systems (ICDCS)

author list (cited authors)

• Zhu, Y. e., & Bettati, R.

citation count

• 6

complete list of authors

• Zhu, Ye||Bettati, R

publication date

• January 2007

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• International Conference on Distributed Computing Systems  Journal

Digital Object Identifier (DOI)

• 10.1109/icdcs.2007.94

International Standard Book Number (ISBN) 10

• 0769528376

International Standard Book Number (ISBN) 13

• 9780769528373

start page

• 24

end page

• 24

URL

• http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=4268147