Authenticated Encryption Based on Chaotic Neural Networks and Duplex Construction

Autor: Nabil Abdoun, Safwan El Assad, Thang Manh Hoang, Olivier Deforges, Rima Assaf, Mohamad Khalil

Publikováno v: Symmetry, Vol 13, Iss 12, p 2432 (2021)

In this paper, we propose, implement and analyze an Authenticated Encryption with Associated Data Scheme (AEADS) based on the Modified Duplex Construction (MDC) that contains a chaotic compression function (CCF) based on our chaotic neural network re

Externí odkaz: https://doaj.org/article/7943ac45a6e64d3a81f4daeae1bdd024

Is geopolitical risk interconnected? Evidence from Russian-Ukraine crisis

Autor: Shamima Ahmed, Rima Assaf, Molla Ramizur Rahman, Fariha Tabassum

Publikováno v: The Journal of Economic Asymmetries. 28:e00306

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7631b665da99e00865a078d7d6ff04d6
https://doi.org/10.1016/j.jeca.2023.e00306

Designing Two Secure Keyed Hash Functions Based on Sponge Construction and the Chaotic Neural Network

Autor: Nabil Abdoun, Safwan El Assad, Thang Manh Hoang, Olivier Deforges, Rima Assaf, Mohamad Khalil

Publikováno v: Entropy, Vol 22, Iss 9, p 1012 (2020)

In this paper, we propose, implement, and analyze the structures of two keyed hash functions using the Chaotic Neural Network (CNN). These structures are based on Sponge construction, and they produce two variants of hash value lengths, i.e., 256 and

Externí odkaz: https://doaj.org/article/1d86a04c5d4b4850b8ece5522da1e227

Ab-initio study of the electronic structure of LaF including spin-orbit coupling

Autor: Joumana, Assaf, Rima, Assaf, Fouad El Haj, Hassan

Publikováno v: Journal of molecular modeling. 28(6)

Spectroscopic investigation of lanthanum monofluoride molecule LaF is carried out by ab-initio methods and all the observed band systems are predicted through the fine structure of LaH. This structure consisted of 67 Ω

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::0f763aae7e729b41a9d4e23807b1457b
https://pubmed.ncbi.nlm.nih.gov/35618856

Designing Two Secure Keyed Hash Functions Based on Sponge Construction and the Chaotic Neural Network

Autor: Olivier Deforges, Nabil Abdoun, Mohamad Khalil, Thang Manh Hoang, Safwan El Assad, Rima Assaf

Publikováno v: Entropy
Entropy, MDPI, 2020, 22 (9), pp.1012. ⟨10.3390/e22091012⟩
Volume 22
Issue 9
Entropy, 2020, 22 (9), pp.1012. ⟨10.3390/e22091012⟩
Entropy, Vol 22, Iss 1012, p 1012 (2020)

In this paper, we propose, implement, and analyze the structures of two keyed hash functions using the Chaotic Neural Network (CNN). These structures are based on Sponge construction, and they produce two variants of hash value lengths, i.e., 256 and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f16af144c9ca00e15c322818df3808bd
https://hal.archives-ouvertes.fr/hal-02935637/document