Accelerating Training and Enhancing Security Through Message Size Optimization in Symmetric Cryptography

ePrint Report: Accelerating Training and Enhancing Security Through Message Size Optimization in Symmetric Cryptography

ABHISAR, Madhav Yadav, Girish Mishra

This research extends Abadi and Andersen's exploration of neural networks using secret keys for information protection in multiagent systems. Focusing on enhancing confidentiality properties, we employ end-to-end adversarial training with neural networks Alice, Bob, and Eve. Unlike prior work limited to 64-bit messages, our study spans message sizes from 4 to 1024 bits, varying batch sizes and training steps. An innovative …

adversarial confidentiality cryptography end end-to-end eprint report information keys message networks neural networks optimization protection report research secret secret keys security size symmetric systems training