NCSU

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Visible to the public A Human Information-Processing Analysis of Online Deception Detection

Human interaction is an integral part of any system. Users have daily interactions with a system and make many decisions that affect the overall state of security. The fallibility of users has been shown but there is little research focused on the fundamental principles to optimize the usability of security mechanisms. We plan to develop a framework to design, develop and evaluate user interaction in a security context.

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Visible to the public Leveraging the Effects of Cognitive Function on Input Device Analytics to Improve Security

A key concern in security is identifying differences between human users and "bot" programs that emulate humans. Users with malicious intent will often utilize wide-spread computational attacks in order to exploit systems and gain control. Conventional detection techniques can be grouped into two broad categories: human observational proofs (HOPs) and human interactive proofs (HIPs).

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Visible to the public Formal Specification and Analysis of Security-Critical Norms and Policies

Goal: To understand how security properties vary with norms and policies that govern the behavior of collaborators (users and organizations), to enable identification of norms and policies that achieve desired tradeoffs between security and user preferences.

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Visible to the public Scientific Understanding of Policy Complexity

Goal: To develop a scientific understanding of what makes security policies complex as well as metrics for measuring security policy complexity, defined as the degree of difficulty in understanding by relevant users.