Comparative Study of two Pseudo Chaotic Number Generators for Securing the IoT - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2016

Comparative Study of two Pseudo Chaotic Number Generators for Securing the IoT

Résumé

The extremely rapid development of the Internet of Things brings growing attention to the information security issue. Realization of cryptographically strong pseudo random number generators (PRNGs), is crucial in securing sensitive data. They play an important role in cryptography and in network security applications. In this paper, we realize a comparative study of two pseudo chaotic number generators (PCNGs). The First pseudo chaotic number generator (PCNG1) is based on two nonlinear recursive filters of order one using a Skew Tent map (STmap) and a Piece-Wise Linear Chaotic map (PWLCmap) as non linear functions. The second pseudo chaotic number generator (PCNG2) consists of four coupled chaotic maps, namely: PWLCmaps, STmap, Logistic map by means a binary diffusion matrix [D]. A comparative analysis of the performance in terms of computation time (Generation time, Bit rate and Number of needed cycles to generate one byte) and security of the two PCNGs is carried out.
Fichier principal
Vignette du fichier
b_jallouli2016-1.pdf (262.95 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01355173 , version 1 (11-05-2020)

Licence

Paternité

Identifiants

Citer

Ons Jallouli, Mohammad Abu Taha, Safwan El Assad, Maryline Chetto, Audrey Queudet, et al.. Comparative Study of two Pseudo Chaotic Number Generators for Securing the IoT. International Conference on Advances in Computing, Communications and Informatics (ICACCI-2016), Sep 2016, Jaipur, India. pp.1345-1349, ⟨10.1109/ICACCI.2016.7732234⟩. ⟨hal-01355173⟩
313 Consultations
92 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More