Nowadays, the high number of devices and applications connected to the Internet has
generated a great amount of data being which makes privacy and protection a more …

Traditional public key exchange protocols are based on algebraic number theory. In another
perspective, neural cryptography, which is based on neural networks, has been emerging. It …

A current trend of research focuses on artificial intelligence based cryptography which
although proposed almost thirty years ago could not attract much attention. Abadi and …

Spiking neural P systems, SN P systems for short, have found various applications over time.
Perhaps the most important application to date is in the area of artificial intelligence where …

Quantum Cryptography emerged from the limitations of classical cryptography. It will play a
vital role in information security after the availability of expected powerful quantum …

To enhance IoT security level of Tree Parity Machines, TPMs, many researchers recently
tried to increase the number of neurons in a single hidden layer. In this paper we propose a …

Neural networks based cryptography has seen a significant growth since the introduction of
adversarial cryptography which makes use of Generative Adversarial Networks (GANs) to …

Neural cryptography is the application of artificial neural networks (ANNs) in the subject of
cryptography. The functionality of this solution is based on a tree parity machine (TPM). It …

This paper proposes a Spider Monkey-based neural weight optimization approach for
quicker neural synchronization. To exchange the session key across a public channel, two …

We propose a multi-agent adversarial neural networks model where a sender (Alice) and a
receiver (Bob) are able to learn to use a pair of public/private keys in order to protect their …