Abstract
Musical cryptography is a technique in which plain text messages are enciphered into a musical composition. Recently, a surge of music composition by means of machine learning have produced natural-sounding music that can be deemed as composed by humans. The combination of machine-generated music and enciphering a message into the composition is a logical step in musical cryptography. Outlined in this thesis is a method that incorporates the use of a specific type of recurrent neural network, Long Short-Term Memory, and a variant of the substitution cipher to form of symmetric-key cryptography system. Exploration was also completed to determine how the architecture of the network and the dataset used can modify the output of the encryption.
Thesis Completion
2020
Semester
Spring
Thesis Chair/Advisor
Leinecker, Richard
Degree
Bachelor of Science (B.S.)
College
College of Engineering and Computer Science
Department
Computer Science
Language
English
Access Status
Open Access
Release Date
5-1-2020
Recommended Citation
Helsel, Curtis, "Musical Cryptography Using Long Short-Term Memory Networks" (2020). Honors Undergraduate Theses. 714.
https://stars.library.ucf.edu/honorstheses/714