Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Hicham Grari"'
Publikováno v:
International Journal of Information Security and Privacy. 16:1-16
Recently, Deep Neural Networks have shown great deal of reliability and applicability as its applications spread in different areas. This paper proposes a cryptanalysis model based on Deep Neural Network, the neural network takes in plaintexts and th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::714add8ae3a77c22dcb850d025048b59
https://doi.org/10.4018/ijisp.300325
https://doi.org/10.4018/ijisp.300325
The Merkle-Hellman (MH) cryptosystem is one of the earliest public key cryptosystems, which is introduced by Ralph Merkle and Martin Hellman in 1978 based on an NP-hard problem, known as the subset-sum problem. Furthermore, ant colony optimization (A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f65a2fcb540eacfc949f523eb29bc9e0
https://zenodo.org/record/6951317
https://zenodo.org/record/6951317
Ant colony Optimization is a nature-inspired meta-heuristic optimization algorithm that gained a great interest in resolution of combinatorial and numerical optimization problems in many science and engineering domains. The aim of this work was to in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::972c13903561ef47a9ab2f7848c047f9
https://zenodo.org/record/4087754
https://zenodo.org/record/4087754
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030120641
Ant Colony Optimization is a search meta-heuristic inspired by the foraging behavior of real ant, having a very wide applicability. Especially, it can be applied to different combinatorial optimization problem. In this paper, we present a novel Ant C
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d3c37c099f16ba00def23c6bdbfb827a
https://doi.org/10.1007/978-3-030-12065-8_11
https://doi.org/10.1007/978-3-030-12065-8_11
Publikováno v:
CommNet
Ant Colony Optimization is a search meta-heuristic inspired by the behavior of real ant colonies and shown their effectiveness, robustness to solve a wide variety of complex problems. In this paper, we present a novel Ant Colony Optimization (ACO) ba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8722b5c687b48e522b3b238d00f7c166
https://doi.org/10.1109/commnet.2018.8360270
https://doi.org/10.1109/commnet.2018.8360270
Publikováno v:
SSRN Electronic Journal.
Ant Colony Optimization is a search metaheuristic inspired by the behavior of real ant colonies and shown their effectiveness, robustness to solve a wide variety of complex problems. In this paper, we present a novel Ant Colony Optimization (ACO) bas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0684ab488a5c1ec579d53f5add8227aa
https://doi.org/10.2139/ssrn.3185322
https://doi.org/10.2139/ssrn.3185322
Publikováno v:
Proceedings of the Third International Afro-European Conference for Industrial Advancement — AECIA 2016 ISBN: 9783319608334
AECIA
AECIA
In this paper, we present a novel Ant Colony Optimization (ACO) based attack for cryptanalysis of a simple substitution Cipher. A known only cipher text attack is used to recovering the key based on the letter frequency language, a new algorithm is i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4aedcbb808a66c07e0e6b69176cc0401
https://doi.org/10.1007/978-3-319-60834-1_19
https://doi.org/10.1007/978-3-319-60834-1_19
Autor:
Hicham, Grari
Publikováno v:
Repositorio Digital de la Universidad Politécnica de Cartagena
instname
instname
Como consecuencia del desarrollo de las TIC la educación no presencial crece en importancia día a día a nivel mundial. En concreto, en el entorno universitario la educación a distancia es cada vez más utilizada. Si nos centramos en el caso de la
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::ee75f87d69e5c77ebcd0322d4caf6c5f
http://hdl.handle.net/10317/3083
http://hdl.handle.net/10317/3083