User privacy enhancement in modern web applications
Bagai, Rajiv Chandrashekar, Kirankumar
Bagai, Rajiv
Chandrashekar, Kirankumar
Other Names
Location
Time Period
Advisors
Original Date
Digitization Date
Issue Date
2015
Type
Conference paper
Genre
Keywords
Online privacy,Traffic padding,l-diversity
Subjects (LCSH)
Citation
R. Bagai and K. Chandrashekar, "User Privacy Enhancement in Modern Web Applications," Computational Intelligence, Communication Systems and Networks (CICSyN), 2015 7th International Conference on, Riga, 2015, pp. 127-132
Abstract
It has been shown recently that a vast majority of modern web applications are prone to compromising privacy of online activity of their users due to the applications' vulnerability to analysis of unique network traffic patterns generated by them for user input actions. Such vulnerability usually results from popular convenience features, like autosuggestion and auto-completion. We present a configurable method for achieving a desired level of user privacy in such applications. Our method, based on padding packets with dummy content, incurs no data utility expense, and effectively thwarts attacks that employ background information about input action probabilities. We present an algorithm that makes intelligent, minimal-cost padding decisions during the application development phase. In comparison with a recent existing technique, our method provides privacy at the expense of provably lower run-time network bandwidth overhead.
Table of Contents
Description
Click on the DOI link to access the article (may not be free).
Publisher
IEEE
Journal
Book Title
Series
7th International Conference on Computational Intelligence, Communication Systems and Networks (CICSyN), 2015;