Authenticating a Known User Through Behavioral Biometrics Using a Smartphone Accelerometer
McEachen, John C.
MetadataShow full item record
This thesis investigates the feasibility of authenticating a user through a behavioral biometric signature from smartphone accelerometer data. Using a Samsung Galaxy S7, acceleration in relation to the necessary equilibrium, postural state for a subject to orient a smartphone in order to read a headline article was measured and recorded by the MATLAB Mobile application. Twenty subjects—1 known and 19 unknown—were used in the creation of a MATLAB machine-learning classifier. The classifier accurately distinguished an unknown subject from the known subject. Recommendations for future work include repeating the experiment with the latest smartphone devices as available, incorporating different sensors available to the “MATLAB Mobile App,” and introducing noise to spoof the known user.
Showing items related by title, author, creator and subject.
Nguyen, Vincent K. (Monterey, California: Naval Postgraduate School, 2014-03);This thesis attempts to authenticate a smartphone user by pattern of life based on a smartphone user's geolocation throughout the course of a day. Current smartphone technology uses the global positioning system (GPS) as ...
The system engineering approach: Taiwan navy incorporation of mobile devices (smartphone) into its force structure Lee, Wei-yang (Monterey, California: Naval Postgraduate School, 2015-06);Attempting different approaches to explore the best practice of optimizing mobile security and productivity is necessary to improve the Taiwan navy’s maneuverability and capability in the information age. This thesis uses ...
Williford, Bradley John (Monterey, California. Naval Postgraduate School, 2012-03);Highly mobile, maneuver units require the ability to rapidly provide perimeter defense for their assets. Remote sensors, combined with wireless networks and Smartphones offer a means to reduce manpower impacts of perimeter ...