TEAMS 2 & 4 THE MICHAEL L. GARGANO 9TH ANNUAL RESEARCH DAY PRESENTATION PRESENTERS EDYTA ZYCH & VINNIE MONACO May 6, 2011 Seidenberg School of Computer Science and Information Systems Pace University, Graduate Center White Plains, New York Keystroke Biometric & Stylometry Systems
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May 6, 2011 Seidenberg School of Computer Science and Information Systems
Keystroke Biometric & Stylometry Systems. Teams 2 & 4 The Michael L. Gargano 9th Annual Research Day Presentation Presenters Edyta Zych & Vinnie Monaco. May 6, 2011 Seidenberg School of Computer Science and Information Systems Pace University, Graduate Center White Plains, New York. - PowerPoint PPT Presentation
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TEAMS 2 & 4THE MICHAEL L. GARGANO 9TH ANNUALRESEARCH DAY PRESENTATION
PRESENTERSEDYTA ZYCH & VINNIE MONACO
May 6, 2011Seidenberg School of Computer Science and Information SystemsPace University, Graduate CenterWhite Plains, New York
Keystroke Biometric& Stylometry Systems
AGENDA Team and Project Leader Introductions KBS & Stylometry Projects Overview Project Specifications & Deliverables System Components & Enhancements Results & Conclusions Future Work
PROJECT STAKEHOLDERS
Team Members Vinnie Monaco Tyrone Allman Mino Lamrabat Mandar Manohar
Customers / SMEs Dr. Tappert John Stewart Robert Zack
Team Members Edyta Zych Omar Canales Vinnie Monaco Thomas Murphy
Customers / SMEs Dr. Tappert John Stewart
Keystroke Biometric Stylometry
TWO PROJECTS ACT AS ONE, TWO TEAM LEADS
Person ManagerFacilitate Weekly Meeting ScheduleTask AssignmentsDriving Everyday ActivitiesTech Training & Documentation
Technical ManagerSubject Matter Expert (SME)Technical ScopeDesign & Implementation of all System
EnhancementsProgramming Tasks
OVERVIEW: KEYSTROKE BIOMETRIC SYSTEM Pace University has conducted over 8 years of research
on Keystroke Biometrics The Keystroke Biometric System (KBS) can be used for
both identifying and authenticating users from their typing rhythms
Keystroke dynamics are the patterns of rhythm and timing created when a person types, including: Overall speed Variations of speed moving between specific keys Common errors The length of time that keys are depressed (duration)
This semester’s work focuses solely on the KBS as it relaters to an online test taking environment
OVERVIEW: STYLOMETRY Stylometry is the study of the unique linguistic styles and
writing behaviors of individuals in order to determine authorship
Stylometry uses statistical pattern recognition, and artificial intelligence techniques
Stylometry features typically used to analyze text include word frequencies and identifying patterns in common parts of speech
This semester’s work focuses on text input being used in conjunction with the keystroke analysis to improve authentication results including Determining authorship in documents (Beneficial
academically to assist with on-line test taking) Protecting against plagiarism through a third party
PROJECT SPECIFICATIONS Work closely with our project customer to define the
most appropriate Keystroke & Stylometry Features and add additional features to assist in validating/authenticating the identity of students taking an online exam
Extract the selected Feature Set for Keystroke Biometric and Stylometry Analysis and run experiments to measure program performance utilizing the enhanced systems: Input System, Feature Extractor and Classifier
Run experiments and tests on the data collected to support the identification of subject and online test-taker authorship