In recent years, neural networks and cryptographic schemes have come together in war and
peace; a cross-impact that forms a dichotomy deserving a comprehensive review study …

The recent literature reveals a dichotomy formed by a coevolution between cryptography
and Artificial Intelligence (AI). This dichotomy consists of two sides, namely Crypto …

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 …

An approach to the implementation of a neural network for real-time cryptographic data
protection with symmetric keys oriented on embedded systems is presented. This approach …

Device authentication, encryption, and key distribution are of vital importance to any Internet
of Things (IoT) systems, such as the new smart city infrastructures. This is due to the concern …

Rapid grows and expansion smart systems application, wide use data transmission
networks require cryptographic protection of such data. Graph model of nonlinear neuro-like …

In recent years, NNs, as the basic components in AI models and cryptographic schemes,
have come together in war and peace; a cross-impact forms a dichotomy deserving a …

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 …

In recent years, neural networks have been used to implement symmetric cryptographic
functions for secure communications. Extending this domain, the proposed approach …

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 …