Privacy Protection in Smartphone
When we are enjoying various functions and convenience from mobile devices, our private data are leaked via mobile apps. They are collecting our data more than the original function need while within the permission scope. Current mobile operating systems only provide coarse-grained data access permission, which makes it nearly impossible to eliminate this hazard within current systems. This talk, after a brief description of Data Over-Collection, focuses on an innovative web-based data access system to protect users’ privacy. Meanwhile, it is necessary to keep user transparent and optimize the performance. We use remote storage service with fine-grained permission control to store the private mobile data and keep ordinary data within the mobile device. The talk describes our current research work including mobile data separation for privacy, data access system design and implementation, cache mechanism improvement, and experiment setup. Unsolved problems and future research plans are included in the end as well.
Date and Time
Location
Hosts
Registration
-
Add Event to Calendar
- Meeting Link: https://fdu.zoom.us/j/7828253472
- Teaneck, New Jersey
- United States 07666
- Building: ZOOM Meeting
- Contact Event Hosts
-
Hong Zhao (201)-692-2350, zhao@fdu.edu; Alfredo Tan, tan@fdu.edu, Howard Leach h.leach@ieee.org
- Co-sponsored by SP01 and School of Computer Sciences and Engineering, FDU
- Starts 25 April 2020 12:00 PM UTC
- Ends 29 April 2020 06:00 PM UTC
- No Admission Charge
Speakers
Dr. Wenyun Dai of Fairleigh Dickinson University
Privacy Protection in Smartphone
Biography:
Dr. Wenyun Dai is an Assistant Professor of Computer Science at Gildart Haase School of Computer Sciences and Engineering, Fairleigh Dickinson University, Metropolitan Campus. He received his Ph.D. in Computer Science from Pace University in 2018. He received the Master’s degree from Shanghai Jiao Tong University in 2014 and the Bachelor’s degree from Xiamen University in 2010. His research interests include distributed systems, Cloud Computing, mobile computing, privacy protection, and optimization.
Agenda
When we are enjoying various functions and convenience from mobile devices, our private data are leaked via mobile apps. They are collecting our data more than the original function need while within the permission scope. Current mobile operating systems only provide coarse-grained data access permission, which makes it nearly impossible to eliminate this hazard within current systems. This talk, after a brief description of Data Over-Collection, focuses on an innovative web-based data access system to protect users’ privacy. Meanwhile, it is necessary to keep user transparent and optimize the performance. We use remote storage service with fine-grained permission control to store the private mobile data and keep ordinary data within the mobile device. The talk describes our current research work including mobile data separation for privacy, data access system design and implementation, cache mechanism improvement, and experiment setup. Unsolved problems and future research plans are included in the end as well.