In the contemporary landscape, where a huge amount of data plays a vital role, the
importance of strong and robust cybersecurity measures has become increasingly …

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 …

As sophisticated artificial intelligence software becomes more ubiquitously and more
intimately integrated within domains of traditionally human endeavor, many are raising …

Adversarially robust neural cryptography deals with the training of a neural-based model
using an adversary to leverage the learning process in favor of reliability and …

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 …

Linear attack is a powerful known-plaintext cryptanalysis method on block ciphers, which
has been successfully applied in DES, KATAN, SPECK and other ciphers. In this paper, we …

To retrieve the information from the serious distorted received signal is the key challenge of
communication signal processing. The chaotic baseband communication promises …

摘要随着信息物理系统(Cyber-physical system, CPS) 融合深度和融合广度的不断增加,
信息物理生产系统(Cyberphysical production system, CPPS) 呈现出显著的社会化趋势 …

Psychophysiological computing can be utilized to analyze heterogeneous physiological
signals with psychological behaviors in the Internet of Medical Things (IoMT). Since IoMT …

A Comprehensive Tutorial and Survey of Applications of Deep Learning for Cyber Security
Page 1 P osted on 5 Jan 2020 — CC-BY 4.0 — h ttps://doi.org/10.36227/tech rxiv.11473377.v1 …