The failure of a neural network for solving Boolean equations of algebraic attack

العناوين الأخرى

فشل الشبكة العصبية في حل المعادلات البوليانية للهجوم جبري

المؤلف

Hamzah, Rafif Muhammad

المصدر

Journal of al-Qadisiyah for Pure Science

العدد

المجلد 23، العدد 2 (30 يونيو/حزيران 2018)، ص ص. 247-253، 7ص.

الناشر

جامعة القادسية كلية العلوم

تاريخ النشر

2018-06-30

دولة النشر

العراق

عدد الصفحات

7

التخصصات الرئيسية

تكنولوجيا المعلومات وعلم الحاسوب

الملخص EN

The neural network represents an important method for solving several problems in many applications.

this paper will prove the failure of neural network with algebraic attack which makes it impossible to be used as a tool for solving the linear Boolean equations that generated after applying linearization on the nonlinear equation that generated from applied algebraic attack on the generators of stream cipher.

here when be used deferent types of neural networks such as perceptron , or Boolean neural network, will take long time without arrived to the correct solution (secret key for cipher system),compare with the mathematical method such as Gaussian elimination that given the correct solution with short time.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Hamzah, Rafif Muhammad. 2018. The failure of a neural network for solving Boolean equations of algebraic attack. Journal of al-Qadisiyah for Pure Science،Vol. 23, no. 2, pp.247-253.
https://search.emarefa.net/detail/BIM-913693

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Hamzah, Rafif Muhammad. The failure of a neural network for solving Boolean equations of algebraic attack. Journal of al-Qadisiyah for Pure Science Vol. 23, no. 2 (2018), pp.247-253.
https://search.emarefa.net/detail/BIM-913693

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Hamzah, Rafif Muhammad. The failure of a neural network for solving Boolean equations of algebraic attack. Journal of al-Qadisiyah for Pure Science. 2018. Vol. 23, no. 2, pp.247-253.
https://search.emarefa.net/detail/BIM-913693

نوع البيانات

مقالات

لغة النص

الإنجليزية

رقم السجل

BIM-913693