On demand ciphering engine using artificial neural network

Joint Authors

Dawud, Shifa Abd al-Rahman
Ali, Qutaybah

Source

The International Arab Journal of Information Technology

Issue

Vol. 13, Issue 4 (31 Jul. 2016)9 p.

Publisher

Zarqa University

Publication Date

2016-07-31

Country of Publication

Jordan

No. of Pages

9

Main Subjects

Media and Communication
Information Technology and Computer Science

Topics

Abstract EN

In this paper, a new light weight highly secured ciphering engine creation methodology we called On Demand Ciphering Engine (ODCE) was suggested.

The main feature of this method is that both, the ciphering engine and the secret key, are kept secrets and created by the user or the system administrator when initiating his transmission, then the involved sides exchange these secrets.

The design methodology and structure of this system was described and prototyped using Artificial Neural Network (ANN) as the main building block in the system.

Software and hardware implementations of the suggested system were performed to prove its practicability.

Also, different experimental tests were achieved to determine the impact of the suggested method on both network delay and system performance.

American Psychological Association (APA)

Ali, Qutaybah& Dawud, Shifa Abd al-Rahman. 2016. On demand ciphering engine using artificial neural network. The International Arab Journal of Information Technology،Vol. 13, no. 4.
https://search.emarefa.net/detail/BIM-655015

Modern Language Association (MLA)

Ali, Qutaybah& Dawud, Shifa Abd al-Rahman. On demand ciphering engine using artificial neural network. The International Arab Journal of Information Technology Vol. 13, no. 4 (Jul. 2016).
https://search.emarefa.net/detail/BIM-655015

American Medical Association (AMA)

Ali, Qutaybah& Dawud, Shifa Abd al-Rahman. On demand ciphering engine using artificial neural network. The International Arab Journal of Information Technology. 2016. Vol. 13, no. 4.
https://search.emarefa.net/detail/BIM-655015

Data Type

Journal Articles

Language

English

Notes

Includes appendices.

Record ID

BIM-655015