357 research outputs found
"If You Can't Beat them, Join them": A Usability Approach to Interdependent Privacy in Cloud Apps
Cloud storage services, like Dropbox and Google Drive, have growing
ecosystems of 3rd party apps that are designed to work with users' cloud files.
Such apps often request full access to users' files, including files shared
with collaborators. Hence, whenever a user grants access to a new vendor, she
is inflicting a privacy loss on herself and on her collaborators too. Based on
analyzing a real dataset of 183 Google Drive users and 131 third party apps, we
discover that collaborators inflict a privacy loss which is at least 39% higher
than what users themselves cause. We take a step toward minimizing this loss by
introducing the concept of History-based decisions. Simply put, users are
informed at decision time about the vendors which have been previously granted
access to their data. Thus, they can reduce their privacy loss by not
installing apps from new vendors whenever possible. Next, we realize this
concept by introducing a new privacy indicator, which can be integrated within
the cloud apps' authorization interface. Via a web experiment with 141
participants recruited from CrowdFlower, we show that our privacy indicator can
significantly increase the user's likelihood of choosing the app that minimizes
her privacy loss. Finally, we explore the network effect of History-based
decisions via a simulation on top of large collaboration networks. We
demonstrate that adopting such a decision-making process is capable of reducing
the growth of users' privacy loss by 70% in a Google Drive-based network and by
40% in an author collaboration network. This is despite the fact that we
neither assume that users cooperate nor that they exhibit altruistic behavior.
To our knowledge, our work is the first to provide quantifiable evidence of the
privacy risk that collaborators pose in cloud apps. We are also the first to
mitigate this problem via a usable privacy approach.Comment: Authors' extended version of the paper published at CODASPY 201
Comparison of large scale flight measurements of zero lift drag at Mach numbers from 0.9 to 1.7 of two wing-body combinations having similar 60 degree triangular wings with NACA 65A003 sections
Free-flight Roll Performance of a Steady-flow Jet-spoiler Control on an 80 Degree Delta-wing Missile Between Mach Numbers of 0.6 and 1.8
:A Free-flight investigation at high subsonic and low supersonic speeds of the rolling effectiveness and drag of three spoiler controls having potentially low actuating-force requirements
Free-flight Performance of a Rotating-vane-spoiler Roll Control System with Low Actuating Forces
Fresh Market Cabbage Germplasm Evaluation Results in 1999; Information on the Effects of Planting Date and Genotype on Fresh Market Cabbage Yield and Head Traits in Ohio in 1999
Free-flight Investigation at Mach Numbers Between 0.5 and 1.7 of the Zero-lift Rolling Effectiveness and Drag of Various Surface, Spoiler, and Jet Controls on an 80 Degree Delta-wing Missile
Fresh Market and Processing Cabbage Germplasm Evaluation Results in 2000; Information on the Effects of Planting Date and Genotype on Fresh Market and Processing Cabbage Yield and Head Traits in Ohio in 2000
Large-scale Flight Measurements of Zero-lift Drag at Mach Numbers from 0.8 to 1.6 of a Wing-body Combination Having an Unswept 4.5 Percent Thick Wing with Modified Hexagonal Sections
Free-flight Measurements of the Rolling Effectiveness and Operating Characteristics of a Bellows-actuated Split-flap Aileron on a 60 Degree Delta Wing at Mach Numbers Between 0.8 and 1.8
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