Abstract
Maintaining the security and privacy hygiene of mobile apps is a
critical challenge. Unfortunately, no program analysis algorithm
can determine that an application is "secure" or "malware-free."
For example, if an app records audio during a phone call, it may be
malware. However, the user may want to use such an app to record
phone calls for archival and benign purposes. A key challenge for
automated program analysis tools is determining whether or not
that behavior is actually desired by the user (i.e., user
expectation). This talk presents recent research progress in
exploring user expectations in mobile app security and conducting
automatic test generation for Android apps.
Speaker's Biography
Dr. Tao Xie is an Associate Professor and Willett Faculty Scholar
in the Department of Computer Science at the University of Illinois
at Urbana-Champaign, USA. His research interests are in software
engineering, focusing on software testing, program analysis,
software analytics, software security, and educational software
engineering. He is an ACM Distinguished Speaker and an IEEE
Computer Society Distinguished Visitor. He is an ACM Distinguished
Scientist. His homepage is at
https://taoxie.cs.illinois.edu .
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