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Typhoid Adware Daniel Medeiros Nunes de Castro, Eric Lin, John Aycock, and Mea Wang
 

Summary: Typhoid Adware
Daniel Medeiros Nunes de Castro, Eric Lin, John Aycock, and Mea Wang
Department of Computer Science
University of Calgary
2500 University Drive NW
Calgary, Alberta, Canada T2N 1N4
{dmncastr,linyc,aycock,meawang}@ucalgary.ca
March 9, 2010
Abstract
Typical strategy for adware authors is to install their software on as
many machines as possible and, for each affected machine, display ad-
vertisements to the user(s) of that computer. In this paper we present a
different model: typhoid adware. Typhoid adware is more covert, display-
ing advertisements on computers that do not have the adware installed.
We prove that this is a viable adware model with three proof-of-concept
implementations and discuss possible defenses, for which we have two
proof-of-concept implementations.
1 Introduction
In the beginning of the 20th century, a cook named Mary Mallon was infected
with a highly contagious disease called typhoid fever, but she did not have the

  

Source: Aycock, John - Department of Computer Science, University of Calgary

 

Collections: Computer Technologies and Information Sciences