The computation of these input parameters lies on the dynamics underlying the data and the highly complex analysis, not always accurate. Artificial neural networks (ANN) well known for learning and generalization are hence used to model the dynamics of Chua's circuit viz. x, y and z. The ...
Modern cryptographic schemes is developed based on the mathematical theory. Recently works show a new direction about cryptography based on the neural networks. Instead of learning a specific algorithm, a cryptographic scheme is generated automatically. While one kind of neural network is used to achie...
Neural Computing and Applications (2022) 34:19953–19972 https://doi.org/10.1007/s00521-022-07539-0 (0123456789().,-volV)(0123456789,-().volV) ORIGINAL ARTICLE Instant-Hybrid Neural-Cryptography (IHNC) based on fast machine learning Assem Badr1 Received: 20 October 2021 / Accepted: 13 ...
The cryptanalyst then “adapts” further rounds of decryption based on the previous round. Meet-in-the-middle attack A meet-in-the-middle attack encrypts on one side, decrypts on the other side, and meets in the middle. The most common attack is against “double DES,” which encrypts ...
Using this architecture, a Deep Neural Network (DNN) capable of identifying unusual behaviour in network systems was automatically built. The method described in Ref. [15] used a smart way to create an intrusion detection system (IDS) based on Deep Neural Networks (DNN) that was specifically ...
[\latex])1. Two of the PQCs selected by the National Institute of Standards and Technology (NIST), Crystals-Dilithium and Crystals-Kyber, rely on lattices which are a set of independent vectors. Both revolve around solving a linear equation system based on a lattice where errors have been ...
Neural cryptography is widely considered as a novel method of exchanging secret key between two neural networks through mutual learning. This paper puts forward a generalized architecture to provide an approach to designing novel neural cryptography. Mea
The EMR is compressed using Huffman compression, the CEMR (Compressed EMR) which is based on password-protection from the combination of lower layer's spy unit vector and upper layer's spy unit vector. A network with feedback generates a secret key, which can be used to encrypt and ...
Keywords Artificial neural networks Boolean functions Elliptic curves Discrete logarithm 1. Introduction Cryptographic systems based on elliptic curves (ECG) have been proposed in [1], [2] as an alternative to conventional public key cryptosystems. Their main advantage is that they use smaller parameter...
Identity-Based Encryption: it enables access control based on identities; • Attribute-Based Encryption: it enables access control based on attributes; • Functional Encryption: it lets private key holders learn some function of the underlying plaintext. In Public-Key Encryption (PKE) schemes [91...