Mobile applications' privacy policies often are inconsistent with how an app actually collects and shares users' personal information, according to an automated analysis system developed by Carnegie Mellon University (CMU). Several federal and state laws require mobile apps to have privacy policies, but these policies can be incomplete or missing entirely.
The CMU researchers say their automated approach is much faster than human review, analyzing one app in about six seconds. CMU professor Norman Sadeh notes the system may make incorrect assumptions about how apps handle personal information, so a human would need to validate the findings of the automated system. Sadeh says organizations could use the system to assign scores to apps, helping regulators focus on the most serious violators.
From Carnegie Mellon University
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Abstracts Copyright © 2016 Information Inc., Bethesda, Maryland, USA
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