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Optimizing ECC Implementations on Embedded Devices.
紀錄類型:
書目-語言資料,手稿 : Monograph/item
正題名/作者:
Optimizing ECC Implementations on Embedded Devices./
作者:
Owens, Daniel.
面頁冊數:
1 online resource (49 pages)
附註:
Source: Masters Abstracts International, Volume: 84-02.
Contained By:
Masters Abstracts International84-02.
標題:
Computer science. -
電子資源:
click for full text (PQDT)
ISBN:
9798841793557
Optimizing ECC Implementations on Embedded Devices.
Owens, Daniel.
Optimizing ECC Implementations on Embedded Devices.
- 1 online resource (49 pages)
Source: Masters Abstracts International, Volume: 84-02.
Thesis (M.S.)--Florida Atlantic University, 2022.
Includes bibliographical references
As the cryptographic community turns its focus toward post-quantum cryptography, the demand for classical cryptographic schemes such as Elliptic Curve Cryptography (ECC) remains high. ECC is mature, well studied, and used in a wide range of applications such as securing visits to web pages through a web browser, Bitcoin, and the Internet of Things (IoT). In this work we present an optimized implementation of the Edwards Curve Digital Signature Algorithm (EdDSA) operations Key Generation and Sign using the Ed25519 parameter on the ARM Cortex-M4, and we discuss the optimization of field and group arithmetic to produce high throughput cryptographic primitives. In addition, we discuss several techniques for optimizing scalar multiplication, and present timing and memory consumption for each, as well as comparisons to other works. Our fastest implementation performs an Ed25519 Key Generation operation in 250,785 cycles and signing in 435,426 cycles utilizing 6.1 kB of additional Read Only Memory (ROM) space.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024
Mode of access: World Wide Web
ISBN: 9798841793557Subjects--Topical Terms:
573171
Computer science.
Subjects--Index Terms:
Cortex-M4Index Terms--Genre/Form:
554714
Electronic books.
Optimizing ECC Implementations on Embedded Devices.
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Advisor: Azarderakhsh, Reza.
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Includes bibliographical references
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As the cryptographic community turns its focus toward post-quantum cryptography, the demand for classical cryptographic schemes such as Elliptic Curve Cryptography (ECC) remains high. ECC is mature, well studied, and used in a wide range of applications such as securing visits to web pages through a web browser, Bitcoin, and the Internet of Things (IoT). In this work we present an optimized implementation of the Edwards Curve Digital Signature Algorithm (EdDSA) operations Key Generation and Sign using the Ed25519 parameter on the ARM Cortex-M4, and we discuss the optimization of field and group arithmetic to produce high throughput cryptographic primitives. In addition, we discuss several techniques for optimizing scalar multiplication, and present timing and memory consumption for each, as well as comparisons to other works. Our fastest implementation performs an Ed25519 Key Generation operation in 250,785 cycles and signing in 435,426 cycles utilizing 6.1 kB of additional Read Only Memory (ROM) space.
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click for full text (PQDT)
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