FPGA-based Design Approaches of Keccak Hash Function

Provelengios, George; Kitsos, Paris; Sklavos, Nicolas; Koulamas, Christos

doi:10.1109/dsd.2012.63

Cited by 27 publications

(13 citation statements)

References 3 publications

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“…The two implementations which propose [17] the hardware Keccak hash function described in this article, have been implemented in a FPGA Virtex-5 device. The author's design approaches include the use of DSP blocks that result in minimal use of traditional logical user, such as lookup tables (LUTs), pipelining that lead to increased time efficiency and combination of the two techniques.…”

Section: Related Workmentioning

confidence: 99%

High Throughput Implementation of the Keccak Hash Function Using the Nios-II Processor

2020

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Presently, cryptographic hash functions play a critical role in many applications, such as digital signature systems, security communications, protocols, and network security infrastructures. The new standard cryptographic hash function is Secure Hash Algorithm 3 (SHA-3), which is not vulnerable to attacks. The Keccak algorithm is the winner of the NIST competition for the adoption of the new standard SHA-3 hash algorithm. In this work, we present hardware throughput optimization techniques for the SHA-3 algorithm using the Very High Speed Integrated Circuit Hardware Description Language (VHDL) programming language for all output lengths in the Keccak hash function (224, 256, 384 and 512). Our experiments were performed with the Nios II processor on the FPGA Arria 10 GX (10AX115N2P45E1SG). We applied two architectures, one without custom instruction and one with floating point hardware 2. Finally, we compare the results with other existing similar designs and found that the proposed design with floating point 2 optimizes throughput (Gbps) compared to existing FPGA implementations.

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Section: Related Workmentioning

confidence: 99%

High Throughput Implementation of the Keccak Hash Function Using the Nios-II Processor

2020

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“…The original message M of length n is taken for consideration and transformation of the alphanumeric characters into points on Elliptic Curve represented in Eq. (13).…”

Section: Novel Cryptographic Algorithmmentioning

confidence: 99%

“….In the proposed ECDSA model hidden generator point concept is applied to authenticate the encrypted message communicated between the devices connected in the perceptual layer of IoT [13], [14].…”

Section: Modified Elliptic Curve Digital Signature Algorithmmentioning

confidence: 99%

FPGA Implementation of Elliptic Curve Cryptoprocessor for Perceptual Layer of the Internet of Things

Kamalakannan¹,

Tamilselvan²

2018

ICST Transactions on Security and Safety

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Today's developing era data and information security plays an important role in unsecured communication between Internet of Things (IoT) elements. In IoT, data are transmitted in plaintext for many reasons. One of the most common reason is the availability of hardware. Many IoT products are inexpensive components with limited memory and computational resources. Such devices might be unable to support the computationally intense cryptographic functions of asymmetrical cryptography. If designers considered the privacy implications of unencrypted data, they have limited options for encryption because of the hardware platform. Therefore the designers have to create their own security protocols or implement stripped-down versions of existing security protocols. The second option has a better chances. Evidence recommends such a modified protocol would run efficiently on small devices. Elliptic Curve Cryptography (ECC) is used to ensure complete protection against the security risks such as confidentiality, integrity, privacy and authentication by implementing an Elliptic Curve Cryptoprocessor. The work focuses on high-performance Elliptic Curve Cryptoprocessor design, optimized for Field Programmable Gate Array (FPGA) implementation, using the concept of asymmetric and hash algorithms. A novel cryptographic algorithm consisting of matrix mapping methodology and hidden generator point theory is to be applied for encryption/decryption between the sender and receiver whereas Elliptic Curve Digital Signature Algorithm (ECDSA) designed using Keccak Secured Hash Algorithm (SHA) algorithm is applied for the validation of the encrypted data. The proposed Cryptoprocessor operates at a minimum period of 6.980 ns and maximum frequency of 143.276 MHz. This work focuses on the practicability of public key cryptography implementation for devices connected in the perceptual layer of IoT.

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“…Here Keccak-f [1600], recognized as a new Secure Hash Algorithm-3, i.e. SHA-3 by NIST is considered in the digital signature generation and the digital signature verification processes [3]. Here the complexity of digital signature generation and digital signature verification is also analyzed to stop the attacker attempting to forge the signature.…”

Section: Introductionmentioning

confidence: 99%

FPQA implementation of modified Elliptic Curve Digital Signature Algorithm

Venkataraman

Sadasivam

2019

FACTA U EE

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With rapid deployment of Internet-of-Things (IoT) devices, security issues related to data transmitted between the devices increases. Thus the integrity of perceptual layer devices is of utmost importance to secure the information being transmitted between the devices. In a secured information system, digital signature generation and verification processes are entirely different from data encryption and decryption processes. Digital signatures are rapidly emerging due to the problems related to data integrity thus playing a crucial role in the authentication process by enabling the sender to attach a signature to the encrypted message. Based on the devices it is beneficial to select an algorithm showing favorable behavior, therefore Keccak-f [1600] algorithm is best suited for devices having area and cost constraints. In this paper, implementation of the original Elliptic Curve Digital Signature Algorithm and its variants are considered and evaluated in terms of the security level and computational cost. Here the modified ECDSA scheme concepts related to signature generation and verification are similar to the original ECDSA scheme. The computational cost of the Modified ECDSA is reduced by removing inverse operation in key generation and signing phase, also problems related to signature being forged are resolved using hidden generator point concept. Hence the Modified ECDSA is more secure with less computational cost when implemented on FPGA using Verilog HDL. Therefore, this algorithm can be applied for the devices being connected in perceptual layer of the IoT.

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FPGA-based Design Approaches of Keccak Hash Function

Cited by 27 publications

References 3 publications

High Throughput Implementation of the Keccak Hash Function Using the Nios-II Processor

High Throughput Implementation of the Keccak Hash Function Using the Nios-II Processor

FPGA Implementation of Elliptic Curve Cryptoprocessor for Perceptual Layer of the Internet of Things

FPQA implementation of modified Elliptic Curve Digital Signature Algorithm

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