Algorithms and Architectures for Cryptography and Source Coding in Non-Volatile Flash Memories (Schriftenreihe der Institute für Systemdynamik (ISD) und optische Systeme (IOS)) - Softcover

Safieh, Malek

Softcover

ISBN 10: 365834458X ISBN 13: 9783658344580

Verlag: Springer Vieweg, 2021

Inhaltsangabe

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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Über die Autorin bzw. den Autor

Malek Safieh is a research scientist in the field of cryptography and data compression.

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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 upthe encoding process. Two dictionary partitioning techniques are introduced that improve the compression rate and reduce the memory size of this parallel dictionary LZW algorithm.

About the AuthorMalek Safieh is a research scientist in the field of cryptography and data compression.

Details zur Ausgabe

• Verlag: Springer Vieweg
• Erscheinungsdatum: 2021
• Sprache: Englisch
• ISBN 10: 365834458X
• ISBN 13: 9783658344580
• Einband: Tapa blanda
• Auflage: 1
• Anzahl der Seiten: 160
• Kontakt zum Hersteller: Nicht verfügbar