2022 Early Hearing Detection & Intervention Virtual Conference
March 13 - 15, 2022
9/28/2017 | 9:20 AM - 10:05 AM | Defending Android Applications Availability | Track 1 - Cyber Security
Defending Android Applications Availability
There are over a billion devices running the Android oper-
ating system. It is being used globally in personal, public,
private and government organizations. Device and appli-
cation availability, often overlooked in research, is a huge
component to globally maintaining healthy applications and
personal communications. Published research into Android
application availability threats and vulnerabilities is limited
and incomplete. At most, published research on static anal-
ysis techniques used to prevent and thwart Android avail-
ability denial of service has been discussed as an aside in only
a few papers. To ll the research gap in understanding, this
paper examines Android device denial of service techniques
both at a system level and at an application level.
Our research quantitatively examines applications' avail-
ability risks. These risks are used to develop Android mit-
igation techniques for application denial of service scenar-
ios and inform the development of our third contribution
produced from this research. In our third contribution, we
introduce a novel open source Android application, the App-
Nanny, as a watchdog application to help ensure that appli-
cations are playing fair on the device. Lastly, we give insights
into future mobile availability testing which includes devel-
oping a ChaosMonkeyApp helping to ensure hardening and
resiliency in both devices and their running applications.
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Presenters/Authors
Suzanna Schmeelk
(), Columbia University and MSK Hospital, ss5872@nyu.edu;
Dr. Schmeelk is a Senior Security Analyst at Memorial Sloan Kettering Cancer Center in Manhattan, New York. Suzanna holds an Ed.D. in Mathematics Education from Rutgers University. She has also studied Computer Science at Columbia University under the direction of Dr. Alfred Aho while working full time. She holds two M.S. degrees (in Computer Science and Technology Management & Cyber Security) and a B.S. degree in Computer Science with Mathematics minor.
Suzanna has worked and/or interned with Memorial Sloan Kettering Cancer Center in Manhattan, Bell Labs in New Jersey, a subsidiary of Bell Labs in New Jersey, eBay in San Jose, Yahoo! in Sunnyvale, UC-Berkeley in Berkeley, Battelle and Paradyne. In addition, Suzanna has an extensive teaching background. She is an Adjunct Associate Professor at University of Maryland University College, an Instructor at Parsons School of Design in Manhattan, an Instructor with Touro University, an Instructor with Pace University and an Instructor with Cooper Union. Suzanna also teaches and mentors STEM students with the New York Academy of Science in Manhattan, New York.
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Alfred Aho
(), Columbia University, aho@cs.columbia.edu;
Alfred V. Aho is the Lawrence Gussman Professor in the Department of Computer Science at Columbia University. He served as Chair of the department from 1995 to 1997, and again in the spring of 2003.
Professor Aho has a B.A.Sc in Engineering Physics from the University of Toronto and a Ph.D. in Electrical Engineering/Computer Science from Princeton University.
Professor Aho won the Great Teacher Award for 2003 from the Society of Columbia Graduates. In 2014 he was again recognized for teaching excellence by winning the Distinguished Faculty Teaching Award from the Columbia Engineering Alumni Association.
Professor Aho has received the IEEE John von Neumann Medal and is a Member of the U.S. National Academy of Engineering and of the American Academy of Arts and Sciences. He is a Fellow of the Royal Society of Canada. He received honorary doctorates from the Universities of Helsinki, Toronto and Waterloo, and is a Fellow of the American Association for the Advancement of Science, ACM, Bell Labs, and IEEE.
Professor Aho is well known for his many papers and books on algorithms and data structures, programming languages, compilers, and the foundations of computer science.
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