A New Trend of Pseudorandom Number Generator using Multiple Chaotic Systems

Saba, M. Ismail and Mohammed, Muamer N. and M. A., Ameedeen and Ahmed, Hussam Alddin S. (2018) A New Trend of Pseudorandom Number Generator using Multiple Chaotic Systems. Advanced Science Letters, 24 (10). pp. 7401-7406. ISSN 1936-6612. (Published)

21. A New Trend of Pseudorandom Number Generator using Multiple Chaotic Systems1.pdf

Download (27kB) | Preview


The information transmission domain had well been extended by the recent and fast developments in the telecommunication technologies specifically, the mobile networks and internet services. These new developments in turn, had come up with cutting-edge resolutions to secure information from being wiretapped. Countless in-depth studies in the field of cryptography had been carried out with the intent to propose a revolutionary solution for data protection of cryptographic techniques. This paper had proposed a new pseudo-random number generator (PRNG) design that had employed two chaotic systems which were logistics and tent maps, both of which had various operational and initialization values, which had subsequently contributed to the sequential distinction of the statistical properties. A compilation of a well- formulated assessment that had been provided by the National Institute of Standard Technology (NIST) was the foundation to ascertain the accuracy and exclusivity of the generated sequence and features with regards to this area of study. Moreover, a security analysis on key space and key sensitivity had been performed and it was concluded that the proposed PRNG was relevant for the implementation of cryptography.

Item Type: Article
Uncontrolled Keywords: PRNG; Logistic map; Tent map; Cryptograph
Subjects: Q Science > QA Mathematics > QA76 Computer software
Faculty/Division: Centre of Excellence: IBM Centre of Excellence
Faculty of Computer System And Software Engineering
Depositing User: Pn. Hazlinda Abd Rahman
Date Deposited: 20 Feb 2018 06:38
Last Modified: 12 Nov 2018 07:42
URI: http://umpir.ump.edu.my/id/eprint/19613
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item