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مقدمة في التشفير

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 Publication date 2018
and research's language is العربية
 Created by Shamra Editor




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References used
Computer Security and Cryptography, Alan G. Konhiem, Wiley, 2007
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This thesis presents new mechanisms and methods for encryption from algorithms and mathematical theories with their proofs. Methods for encryption (blinding) and decryption (decryption) within text messages have been presented.
تقدم ورقة البحث نمطا جديداً من التشفير باستخدام علاقة فيثاغورث المولدة لثلاثية عددية أولية , و استثمارها في التشفير و المطبق على الرسائل المرمزة بنظام ASCII المستخدم في حواسيبنا الحالية. تم في هذا البحث بناء مفتاح عددي شبه خاص لفك التشفير اعتماد ا على دالة فيثاغورث طبق مع مفتاح عددي آخر للتشفير بحيث تم الوصول لدالة فك التشفير بطريقة صحيحة تتعلق بدالة فيثاغورث (دالة التشفير).
Due to its effectiveness and performance, the Transformer translation model has attracted wide attention, most recently in terms of probing-based approaches. Previous work focuses on using or probing source linguistic features in the encoder. To date , the way word translation evolves in Transformer layers has not yet been investigated. Naively, one might assume that encoder layers capture source information while decoder layers translate. In this work, we show that this is not quite the case: translation already happens progressively in encoder layers and even in the input embeddings. More surprisingly, we find that some of the lower decoder layers do not actually do that much decoding. We show all of this in terms of a probing approach where we project representations of the layer analyzed to the final trained and frozen classifier level of the Transformer decoder to measure word translation accuracy. Our findings motivate and explain a Transformer configuration change: if translation already happens in the encoder layers, perhaps we can increase the number of encoder layers, while decreasing the number of decoder layers, boosting decoding speed, without loss in translation quality? Our experiments show that this is indeed the case: we can increase speed by up to a factor 2.3 with small gains in translation quality, while an 18-4 deep encoder configuration boosts translation quality by +1.42 BLEU (En-De) at a speed-up of 1.4.
This paper presents a new type of encryption, using a matrix asymmetric and symmetric matrix inverse matrix clear text, which is an internal encryption. As well as asymmetric encryption, where the ciphertext is inversely symmetric matrix. Decryp tion matrix related to any asymmetric encryption keys depends on public and private, and is applied to the coded messages used in the current system ASCII our computers.

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