FPGA implementation of RSA public-key cryptographic coprocessor

Hani, Mohamed Khalil; Lin, Tan Siang; Shaikh-Husin, Nasir

doi:10.1109/tencon.2000.892209

Cited by 9 publications

(2 citation statements)

References 8 publications

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“…2) RSA: A public key encryption scheme designed on the factoring problem, RSA computes the plain-text or cipher base value to an exponent within a modulo [27], and can use Montgomery modular multiplication [28] [29]. RSA is more expensive in terms of area and performance compared to AES for FPGAs.…”

Section: F Programmed Decryption Keymentioning

confidence: 99%

Secure FPGA as a Service — Towards Secure Data Processing by Physicalizing the Cloud

Will

2017

2017 IEEE Trustcom/BigDataSE/Icess

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Securely processing data in the cloud is still a difficult problem, even with homomorphic encryption and other privacy preserving schemes. Hardware solutions provide additional layers of security and greater performance over their software alternatives. However by definition the cloud should be flexible and adaptive, often viewed as abstracting services from products. By creating services reliant on custom hardware, the core essence of the cloud is lost. FPGAs bridge this gap between software and hardware with programmable logic, allowing the cloud to remain abstract. FPGA as a Service (FaaS) has been proposed for a greener cloud, but not for secure data processing. This paper explores the possibility of Secure FaaS in the cloud for privacy preserving data processing, describes the technologies required, identifies use cases, and highlights potential challenges.

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Section: F Programmed Decryption Keymentioning

confidence: 99%

Secure FPGA as a Service — Towards Secure Data Processing by Physicalizing the Cloud

Will

2017

2017 IEEE Trustcom/BigDataSE/Icess

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“…B' := B' + 1 2b. P := ( P + A ) mod n 3. return P There are basically four general approaches for computing the product P [12][13][14][15]: Multiply and then divide, Interleaving multiplication and reduction, Brickell's method and Montgomery's method. All approaches above have a common disadvantage that it doubles up the number of bits for each multiplication and hence a large register is needed to store this result.…”

Section: B Shared Key Generatormentioning

confidence: 99%

Real-time FPGA-based Privacy and Authenticated Surveillance System

Abutaleb¹,

Allam²,

Hamdy³

et al. 2009

IJCEE

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Abstract-The detection of moving objects in a frame sequence is an essential processing component for video surveillance. The main objective of this paper is to create a prototype system that can produce secure streams, ciphertext, for every pixel in the detected moving blobs, plaintext, at a much higher rate to be applicable for real time applications. This approach can be applied in security applications such as anti-theft systems and forensic investigation systems. It could potentially be of benefit to financial investment companies, the military and security forces in order to keep certain information encrypted that no one who does not know exactly how to decrypt will not be able to obtain this information. FPGAs have been used to process larger images at faster speed because of their configuration flexibility and high data processing speed. In this paper, FPGA-based architectures for the proposed privacy and authenticated surveillance system are presented. This design can process 768x576 frame sequence at a very high bit rate that reaches to 40M bit per second in a single FPGA chip, which is adequate for most real-time vision applications.

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An FPGA Accelerator for Hash Tree Generation in the Merkle Signature Scheme

Shoufan

2010

Lecture Notes in Computer Science

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FPGA implementation of RSA public-key cryptographic coprocessor

Cited by 9 publications

References 8 publications

Secure FPGA as a Service — Towards Secure Data Processing by Physicalizing the Cloud

Secure FPGA as a Service — Towards Secure Data Processing by Physicalizing the Cloud

Real-time FPGA-based Privacy and Authenticated Surveillance System

An FPGA Accelerator for Hash Tree Generation in the Merkle Signature Scheme

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