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Kaan Yüksel

dblp:70/6064 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2005
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Network and information security
1 paper
Cryptographic primitives and cryptanalysis · 87% Hardware security and side channels · 13%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Energy-efficient computing · 100%

Topics — the 2 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Cryptographic primitives and cryptanalysis
message authentication codes
0.112005
Energy Scalable Universal Hashing · IEEE Trans. Computers 2005
Cryptographic primitives and cryptanalysis › hash functions
universal hash functions
0.112005
Energy Scalable Universal Hashing · IEEE Trans. Computers 2005

Methods — techniques the papers use, named apart from their topics

toeplitz approach · 0.1multihashing · 0.1
YearPublicationVenuePosition
2005 Energy Scalable Universal Hashing
abstract
Message authentication codes (MACs) are valuable tools for ensuring the integrity of messages. MACs may be built around a universal hash function (NH) which was explored in the construction of UMAC. In this paper, we use a variation on NH called WH. WH reaches optimally in the sense that it is universal with half the hash length of NH and it achieves perfect serialization in hardware implementation. We achieved substantial power savings of up to 59 percent and a speedup of up to 7.4 times over NH. Moreover, we show how the technique of multihashing and the Toeplitz approach can be combined to reduce the power and energy consumption even further while maintaining the same security level with a very slight increase in the amount of the key material. At low frequencies, the power and energy reductions are achieved simultaneously while keeping the hashing time constant. We developed formulae for estimation of the leakage and dynamic power consumptions as well as the energy consumption based on the frequency and the Toeplitz parameter t. We introduce a powerful method for scaling WH according to specific energy and power consumption requirements. Our implementation of WH-16 consumes only 2.95 /spl mu/W at 500 kHz. It can therefore be integrated into a self-powered device.
Jens-Peter Kaps, Kaan Yüksel, Berk Sunar
IEEE Trans. Computers2