Toward the Systematization of Active Authentication Research

<p>Authentication is the vital link between your real self and your digital self. As our digital selves become ever more powerful, the price of failing authentication grows. The most common authentication protocols are static data and employed only once at login. This allows for authentication to be spoofed just once to gain access to an entire user session. Behaviometric protocols continuously consume a user’s behavior as a token of authentication and can be applied throughout a session, thereby eliminating a fixed token to spoof. Research into these protocols as viable forms of authentication is relatively recent and is being conducted on a variety of data sources, features and classification schemes. This work proposes an extensible research framework to aid the systemization and preservation of research in this field by standardizing the interface for raw data collection, processing and interpretation. Specifically, this framework contributes transparent management of data collection and persistence, the presentation of past research in a highly configurable and extensible form, and the standardization of data forms to enhance innovative reuse and comparative analysis of prior research.</p>

Name thesis:degree_name

MS in Computer Science

Discipline thesis:degree_discipline

Computer Science

Year dc:date.available

2015

Author dc:creator

• Gerrity, Daniel Fleming

Contributors dc:contributor

• Zachary Peterson

• authentication
• active
• framework
• security
• machine
• learning
• Computer and Systems Architecture
• Other Computer Engineering

Identifier

10.15368/theses.2015.71

OAI identifier oai:identifier

oai:digitalcommons.calpoly.edu:theses-2539