The Anonymizer

CANINE: A NetFlows Converter/Anonymizer Tool for Format Interoperability and Secure Sharing

We created a tool to address two problems with using NetFlows logs for security analysis: (1) NetFlows come in multiple, incompatible formats, and (2) the sensitivity of NetFlow logs can hinder the sharing of these logs. We call the NetFlow converter and anonymizer that we created to address these problems CANINE: Converter and ANonymizer for Investigating Netflow Events). This paper demonstrat...

Learning to Anonymize Faces for Privacy Preserving Action Detection

There is an increasing concern in computer vision devices invading the privacy of their users by recording unwanted videos. On one hand, we want the camera systems/robots to recognize important events and assist human daily life by understanding its videos, but on the other hand we also want to ensure that they do not intrude people’s privacy. In this paper, we propose a new principled approach...

Traffic De-Anonymizer

A Framework for Private Location-based Queries using Cryptographic Protocols

An important privacy issue in Location Based Services (LBS) is to hide a user’s identity and location while still providing quality service. A user’s identity can be easily hidden through anonymous web browsing services, however, a user’s location can reveal a user’s identity. For example, if a user at home asks queries such as “Find the nearest hospital around me” to a LBS server, then based o...

SIP: Secure Information Provider Framework for Mobile Phone Users

The increasing power of the smart phone devices have posed many challenges to the information privacy of the device owner. Privacy has become of paramount importance with the explosion of increasingly popular (but malicious/curious) mobile phone apps. In this paper we provide a framework for preventing malicious services from accessing users data on his mobile phone without his permission. We s...

The Anonymizer Protecting User Privacy on the Web

The employee or politician who wants to protect his or her privacy when viewing sensitive medical information, a competitor’s web site, sexual materials, or a web site catering to a marginalized group (e.g., gay rights, pro-choice or pro-life). The scientist who is asked to anonymously review a colleague’s article submission and wants to gather background materials from the author’s web site. T...