DSpace Repository

Comparative study of two pseudo chaotic number generators for securing the iot

Show simple item record

dc.contributor.author Jallouli, Ons
dc.contributor.author Abutaha, Mohammed
dc.contributor.author El Assad, Safwan
dc.contributor.author Chetto, Maryline
dc.contributor.author Queudet, Audrey
dc.contributor.author Déforges, Olivier
dc.date.accessioned 2020-12-09T09:22:58Z
dc.date.accessioned 2022-05-22T08:53:16Z
dc.date.available 2020-12-09T09:22:58Z
dc.date.available 2022-05-22T08:53:16Z
dc.date.issued 2016
dc.identifier.uri http://localhost:8080/xmlui/handle/123456789/8179
dc.description.abstract 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.
dc.publisher IEEE
dc.title Comparative study of two pseudo chaotic number generators for securing the iot


Files in this item

Files Size Format View

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Browse

My Account