Cart (Loading....) | Create Account
Close category search window

An optimization neural network for smartphone data protection

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Wen-chen Hu ; Comput. Sci., Univ. of North Dakota, Grand Forks, ND, USA ; Yanjun Zuo ; Kaabouch, N. ; Lei Chen

Since the launch of iPhones in 2007, smartphones become very popular these days. Because of their small sizes and high mobility, smartphones are easily lost or stolen. When people lost their smartphones, they are worried the private data stored in the phones may be revealed to strangers. This research proposes a novel approach for mobile data protection. Mobile usage data is first collected and usage patterns are then discovered and saved. An optimization Hopfield neural network is proposed to match the usage data with the stored usage patterns. When an unusual usage pattern such as an unlawful user trying to access the mobile data is detected, the device will automatically lock itself down until a further action is taken. Experimental results show this method is effective and convenient for mobile data protection.

Published in:

Electro/Information Technology (EIT), 2010 IEEE International Conference on

Date of Conference:

20-22 May 2010

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.