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|3 10.34279/0923-006-003-014
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|a eng
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|b العراق
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|9 13233
|a Ali, Hamza A.
|e Author
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245 |
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|a Black Box Neuro-Identifier for RSA and AES Cryptosystems
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|b الجمعية العراقية لتكنولوجيا المعلومات
|c 2014
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300 |
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|a 8 - 19
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336 |
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|a بحوث ومقالات
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|b Black box identification system is a feature of neural networks; hence such system could be utilized for cryptanalysis approach to construct a neuro-identifier. The most widely used and hard to break cryptosystems on the web nowadays are AES and RSA cryptosystems. This paper reports some efforts to incorporate the black box techniques and neuro-identifier for cryptanalysis of these two systems. Theoretical study of a black box model has manifested considerable success in the identification of encryption/decryption keys search.
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653 |
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|a أمن المعلومات
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653 |
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|a شبكات الحاسبات الإلكترونية
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653 |
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|a حماية الكمبيوتر
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700 |
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|9 369501
|a Odey, Namareq
|e Co-Author
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773 |
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|4 علوم المعلومات وعلوم المكتبات
|6 Information Science & Library Science
|c 014
|e Iraqi Journal of Information Technology
|f Al-Maǧallaẗ al-ʻirāqiyyaẗ li-tiknulūǧiyā al-maʻlūmāt
|l 003
|m مج6, ع3
|o 0923
|s المجلة العراقية لتكنولوجيا المعلومات
|v 006
|x 1994-8638
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|u 0923-006-003-014.pdf
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|d y
|p y
|q y
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|a HumanIndex
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|c 707865
|d 707865
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