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Algorithms And Architectures For Cryptography And Source Coding In Nonvolatile Flash Memories Schriftenreihe Der Institute Fr Systemdynamik Isd Und Optische Systeme Ios 1st Ed 2021 Malek Safieh

  • SKU: BELL-33967844
Algorithms And Architectures For Cryptography And Source Coding In Nonvolatile Flash Memories Schriftenreihe Der Institute Fr Systemdynamik Isd Und Optische Systeme Ios 1st Ed 2021 Malek Safieh
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Algorithms And Architectures For Cryptography And Source Coding In Nonvolatile Flash Memories Schriftenreihe Der Institute Fr Systemdynamik Isd Und Optische Systeme Ios 1st Ed 2021 Malek Safieh instant download after payment.

Publisher: Springer Vieweg
File Extension: PDF
File size: 2.83 MB
Pages: 158
Author: Malek Safieh
ISBN: 9783658344580, 365834458X
Language: English
Year: 2021
Edition: 1st ed. 2021

Product desciption

Algorithms And Architectures For Cryptography And Source Coding In Nonvolatile Flash Memories Schriftenreihe Der Institute Fr Systemdynamik Isd Und Optische Systeme Ios 1st Ed 2021 Malek Safieh by Malek Safieh 9783658344580, 365834458X instant download after payment.

In this work, algorithms and architectures for cryptography and source coding are developed, which are suitable for many resource-constrained embedded systems such as non-volatile flash memories. A new concept for elliptic curve cryptography is presented, which uses an arithmetic over Gaussian integers. Gaussian integers are a subset of the complex numbers with integers as real and imaginary parts. Ordinary modular arithmetic over Gaussian integers is computational expensive. To reduce the complexity, a new arithmetic based on the Montgomery reduction is presented. For the elliptic curve point multiplication, this arithmetic over Gaussian integers improves the computational efficiency, the resistance against side channel attacks, and reduces the memory requirements. Furthermore, an efficient variant of the Lempel-Ziv-Welch (LZW) algorithm for universal lossless data compression is investigated. Instead of one LZW dictionary, this algorithm applies several dictionaries to speed up the encoding process. Two dictionary partitioning techniques are introduced that improve the compression rate and reduce the memory size of this parallel dictionary LZW algorithm.

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