Understanding identity exposure and reciprocity attacks in pervasive computing environments
by Kulkarni, Ajinkya, M.S., THE UNIVERSITY OF ALABAMA IN HUNTSVILLE, 2010, 62 pages; 1487688

Abstract:

In pervasive computing environments, the various devices that can efficiently store and process information are emerging rapidly. These devices provide new privacy challenges due to their unprecedented level of interaction between users and their environments. We identify a new attack, reciprocity attack, which service providers can use to maliciously acquire private identity information from customers. We built a simulated mobile shopping system, called InfoSource, to demonstrate the effectiveness of a reciprocity attack. Our results show that when participants are under reciprocity attack, they are more willing to provide some of their private information. To the best of our knowledge, this is the first attempt to understand the impact of the norm of reciprocity as an attack on human identity exposure behavior in pervasive computing environments. We also document our efforts to develop the countermeasure using our RationalExposure model.

 
AdviserFeng Zhu
SchoolTHE UNIVERSITY OF ALABAMA IN HUNTSVILLE
SourceMAI/ 49-03, p. , Jan 2011
Source TypeThesis
SubjectsBehavioral sciences; Computer science
Publication Number1487688
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