A Study of User-Friendly Hash Comparison Schemes
- LecturerMs. Hsu-Chun Hsiao (PhD candidate, Electrical and Computer Engineering, Carnegie Mellon University)
Host: Dr. Bo-Yin Yang - Time2010-01-05 (Tue.) 14:30 – 15:30
- LocationAuditorium 106 at new IIS Building
Abstract
ABSTRACT: Several security protocols require a human to compare two
hash values to ensure successful completion. When the hash values are
represented as long sequences of numbers, humans may make a mistake
or require significant time and patience to accurately compare the hash
values. To improve usability during comparison, a number of
researchers have proposed various hash representations that use words,
sentences, or images rather than numbers. This is the first work to
perform a comparative study of these hash comparison schemes to
determine which scheme allows the fastest and most accurate
comparison. To evaluate the schemes, we performed an online user study
with more than 400 participants. Our findings indicate that only a
small number of schemes allow quick and accurate comparison across a
wide range of subjects from varying backgrounds.