TY - GEN
T1 - Preliminary study of applied binary neural networks for neural cryptography
AU - Tenorio, Raul Horacio Valencia
AU - Sham, Chiu Wing
AU - Vargas, Danilo Vasconcellos
N1 - Publisher Copyright:
© 2020 Owner/Author.
PY - 2020/7/8
Y1 - 2020/7/8
N2 - Adversarial neural cryptography is deemed as an encouraging area of research that could provide different perspective in the post-quantum cryptography age, specially for secure transmission of information. Nevertheless, it is still under explored with a handful of publications on the subject. This study proposes the theoretical implementation of a neuroevolved binary neural network based on boolean logic functions only (BiSUNA), with the purpose of encrypting/decrypting a payload between two agents, hiding information from a competitor.
AB - Adversarial neural cryptography is deemed as an encouraging area of research that could provide different perspective in the post-quantum cryptography age, specially for secure transmission of information. Nevertheless, it is still under explored with a handful of publications on the subject. This study proposes the theoretical implementation of a neuroevolved binary neural network based on boolean logic functions only (BiSUNA), with the purpose of encrypting/decrypting a payload between two agents, hiding information from a competitor.
UR - http://www.scopus.com/inward/record.url?scp=85089743045&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85089743045&partnerID=8YFLogxK
U2 - 10.1145/3377929.3389933
DO - 10.1145/3377929.3389933
M3 - Conference contribution
AN - SCOPUS:85089743045
T3 - GECCO 2020 Companion - Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion
SP - 291
EP - 292
BT - GECCO 2020 Companion - Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion
PB - Association for Computing Machinery, Inc
T2 - 2020 Genetic and Evolutionary Computation Conference, GECCO 2020
Y2 - 8 July 2020 through 12 July 2020
ER -