Date of Completion

Spring 4-18-2022

Thesis Advisor(s)

Benjamin Fuller

Honors Major

Computer Science and Engineering


Information Security | Other Engineering | Theory and Algorithms


Consider a database that contains thousands of entries of the iris biometric. Each entry identifies an individual, so it is especially important that it remains secure. However, searching for entries among an encrypted database proves to be a security problem - how should one search encrypted data without leaking any information to a potential attacker? The proximity searchable encryption scheme, as discussed in the work by Cachet et al., uses the notions of inner product encryption developed by Kim et al.. In this paper, we will focus on the efficiency of these schemes. Specifically, how the symmetry of the bilinear pairing group effects the time required to execute a search.