Algorithms and Architectures for Cryptography and Source Coding in Non-Volatile Flash Memories
Safieh, Malek.
Algorithms and Architectures for Cryptography and Source Coding in Non-Volatile Flash Memories [electronic resource] / by Malek Safieh. - 1st ed. 2021. - XVI, 142 p. 26 illus., 3 illus. in color. online resource. - Schriftenreihe der Institute für Systemdynamik (ISD) und optische Systeme (IOS), 2661-8095 . - Schriftenreihe der Institute für Systemdynamik (ISD) und optische Systeme (IOS), .
1 Introduction -- 2 Elliptic curve cryptography -- 3 Elliptic curve cryptography over Gaussian integers -- 4 Montgomery arithmetic over Gaussian integers -- 5 Architecture of the ECC coprocessor for Gaussian integers -- 6 Compact architecture of the ECC coprocessor for binary extension fields -- 7 The parallel dictionary LZW algorithm for flash memory controllers -- 8 Conclusion.
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 Author Malek Safieh is a research scientist in the field of cryptography and data compression.
9783658344597
10.1007/978-3-658-34459-7 doi
Microprocessors.
Computer architecture.
Data protection.
Computer storage devices.
Memory management (Computer science).
Cryptography.
Data encryption (Computer science).
Processor Architectures.
Data and Information Security.
Computer Memory Structure.
Cryptology.
TK7895.M5 QA76.9.A73
004.22
Algorithms and Architectures for Cryptography and Source Coding in Non-Volatile Flash Memories [electronic resource] / by Malek Safieh. - 1st ed. 2021. - XVI, 142 p. 26 illus., 3 illus. in color. online resource. - Schriftenreihe der Institute für Systemdynamik (ISD) und optische Systeme (IOS), 2661-8095 . - Schriftenreihe der Institute für Systemdynamik (ISD) und optische Systeme (IOS), .
1 Introduction -- 2 Elliptic curve cryptography -- 3 Elliptic curve cryptography over Gaussian integers -- 4 Montgomery arithmetic over Gaussian integers -- 5 Architecture of the ECC coprocessor for Gaussian integers -- 6 Compact architecture of the ECC coprocessor for binary extension fields -- 7 The parallel dictionary LZW algorithm for flash memory controllers -- 8 Conclusion.
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 Author Malek Safieh is a research scientist in the field of cryptography and data compression.
9783658344597
10.1007/978-3-658-34459-7 doi
Microprocessors.
Computer architecture.
Data protection.
Computer storage devices.
Memory management (Computer science).
Cryptography.
Data encryption (Computer science).
Processor Architectures.
Data and Information Security.
Computer Memory Structure.
Cryptology.
TK7895.M5 QA76.9.A73
004.22