Identification of a smartphone user via keystroke analysis
Fleming, Samuel B.
MetadataShow full item record
Keystroke analysis has been an accepted method for user identification and authentication since the early 1980s. Most of the research in this field of biometrics has focused on traditional computer keyboards, with very few experiments performed on touchscreen keyboards found on modern smartphones. This study focused on identifying a smartphone user based on typing samples input by copying pre-written text, as well as spontaneously-authored free text. Features used for identification were duration of key press, as well as bigram and trigram transitions. User classification based on duration features proved to be successful in 70 percent of inputs to our k-nearest neighbors classifier.
Approved for public release; distribution is unlimited.
Showing items related by title, author, creator and subject.
Clarke, William M. (Monterey, California. Naval Postgraduate School, 2009-12);The 9/11 Commission report described how driver's licenses, identification cards and travel documents are as important as weapons to terrorists. Vulnerabilities in existing identification systems provide the opportunity ...
Moore, Todd M. (Monterey, California. Naval Postgraduate School, 2010-12);This thesis investigates the ties between biometrics and state security by analyzing biometric identification and screening programs, their structural elements, and ultimately their effectiveness. Although biometric ...
Yeo, Jiunn Wah (Monterey California. Naval Postgraduate School, 2006-12);Target recognition and identification in battlefields has been a crucial determinant to the ultimate success or failure of modern military campaigns. Since World War II, the Identification of Friend or Foe (IFF) systems ...