Visible to the public Leveraging the Effects of Cognitive Function on Input Device Analytics to Improve Security - October 2015Conflict Detection Enabled

Submitted by drwright on Mon, 09/21/2015 - 9:08am

Public Audience
Purpose: To highlight project progress. Information is generally at a higher level which is accessible to the interested public. All information contained in the report (regions 1-3) is a Government Deliverable/CDRL.

PI(s):  David L. Roberts, Robert St. Amant
Researchers: Alok Goel, Ignacio X. Dominguez, Jayant Dhawan

 

HARD PROBLEM(S) ADDRESSED

  • Human Behavior - Our work addresses understanding human behavior through observations of input device usage. The basic principles we are developing will enable new avenues for characterizing risk and identifying malicious (or accidental) uses of systems that lead to security problems. The ultimate goal of our work is the development of a novel class of security proofs that we call "Human Subtlety Proofs" (HSPs). HSPs combine the unobtrusiveness of Human Observational Proofs with the interactivity of Human Interactive Proofs, which hopefully will lead to more secure interactions.

PUBLICATIONS

  • None in the current quarter

ACCOMPLISHMENT HIGHLIGHTS

  • Work in the current quarter has emphasized data analysis using the corpus of data collected earlier this calendar year. We have put effort into developing a new cognitive model of typing appropriate for HSP development, which has involved theoretical inquiry, data processing, and the design of a novel visualization tool that fuses recorded data as well as predicted labels into a coherent and interactive exploratory tool that supports hypothesis generation and model refinement. 
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