On demand ciphering engine using artificial neural network

المؤلفون المشاركون

Dawud, Shifa Abd al-Rahman
Ali, Qutaybah

المصدر

The International Arab Journal of Information Technology

العدد

المجلد 13، العدد 4 (31 يوليو/تموز 2016)9ص.

الناشر

جامعة الزرقاء

تاريخ النشر

2016-07-31

دولة النشر

الأردن

عدد الصفحات

9

التخصصات الرئيسية

الإعلام و الاتصال
تكنولوجيا المعلومات وعلم الحاسوب

الموضوعات

الملخص 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.

نمط استشهاد جمعية علماء النفس الأمريكية (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

نمط استشهاد الجمعية الأمريكية للغات الحديثة (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

نمط استشهاد الجمعية الطبية الأمريكية (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

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes appendices.

رقم السجل

BIM-655015