Pretražite po imenu i prezimenu autora, mentora, urednika, prevoditelja

Napredna pretraga

Pregled bibliografske jedinice broj: 765241

S-box Pipelining Using Genetic Algorithms for High- Throughput AES Implementations: How Fast Can We Go?


Batina, Lejla; Jakobović, Domagoj; Mentens, Nele; Picek, Stjepan; de la Piedra, Antonio; ŠiŠejković, Dominik
S-box Pipelining Using Genetic Algorithms for High- Throughput AES Implementations: How Fast Can We Go? // Lecture Notes in Computer Science
New Delhi, Indija, 2014. str. 322-337 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 765241 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
S-box Pipelining Using Genetic Algorithms for High- Throughput AES Implementations: How Fast Can We Go?
(S-box Pipelining Using Genetic Algorithms for High-Throughput AES Implementations: How Fast Can We Go?)

Autori
Batina, Lejla ; Jakobović, Domagoj ; Mentens, Nele ; Picek, Stjepan ; de la Piedra, Antonio ; ŠiŠejković, Dominik

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Lecture Notes in Computer Science / - , 2014, 322-337

ISBN
978-3-319-13039-2

Skup
Progress in Cryptology -- INDOCRYPT 2014

Mjesto i datum
New Delhi, Indija, 14.12.2014. - 17.12.2014

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
genetic algorithms ; pipelining

Sažetak
In the last few years, several practitioners have proposed a wide range of approaches for reducing the implementation area of the AES in hardware. However, an area-throughput trade-off that undermines high-speed is not realistic for real-time cryptographic applications. In this manuscript, we explore how Genetic Algorithms (GAs) can be used for pipelining the AES substitution box based on composite field arithmetic. We implemented a framework that parses and analyzes a Verilog netlist, abstracts it as a graph of interconnected cells and generates circuit statistics on its elements and paths. With this information, the GA extracts the appropriate arrangement of Flip-Flops (FFs) that maximizes the throughput of the given netlist. In doing so, we show that it is possible to achieve a 50 % improvement in throughput with only an 18 % increase in area in the UMC 0.13 μm low-leakage standard cell library.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA


Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Lejla Batina (autor)

Avatar Url Stjepan Picek (autor)

Avatar Url Domagoj Jakobović (autor)

Poveznice na cjeloviti tekst rada:

Pristup cjelovitom tekstu rada link.springer.com

Citiraj ovu publikaciju:

Batina, Lejla; Jakobović, Domagoj; Mentens, Nele; Picek, Stjepan; de la Piedra, Antonio; ŠiŠejković, Dominik
S-box Pipelining Using Genetic Algorithms for High- Throughput AES Implementations: How Fast Can We Go? // Lecture Notes in Computer Science
New Delhi, Indija, 2014. str. 322-337 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Batina, L., Jakobović, D., Mentens, N., Picek, S., de la Piedra, A. & ŠiŠejković, D. (2014) S-box Pipelining Using Genetic Algorithms for High- Throughput AES Implementations: How Fast Can We Go?. U: Lecture Notes in Computer Science.
@article{article, author = {Batina, Lejla and Jakobovi\'{c}, Domagoj and Mentens, Nele and Picek, Stjepan and de la Piedra, Antonio and \v{S}i\v{S}ejkovi\'{c}, Dominik}, year = {2014}, pages = {322-337}, keywords = {genetic algorithms, pipelining}, isbn = {978-3-319-13039-2}, title = {S-box Pipelining Using Genetic Algorithms for High- Throughput AES Implementations: How Fast Can We Go?}, keyword = {genetic algorithms, pipelining}, publisherplace = {New Delhi, Indija} }
@article{article, author = {Batina, Lejla and Jakobovi\'{c}, Domagoj and Mentens, Nele and Picek, Stjepan and de la Piedra, Antonio and \v{S}i\v{S}ejkovi\'{c}, Dominik}, year = {2014}, pages = {322-337}, keywords = {genetic algorithms, pipelining}, isbn = {978-3-319-13039-2}, title = {S-box Pipelining Using Genetic Algorithms for High-Throughput AES Implementations: How Fast Can We Go?}, keyword = {genetic algorithms, pipelining}, publisherplace = {New Delhi, Indija} }

Časopis indeksira:


  • Scopus





Contrast
Increase Font
Decrease Font
Dyslexic Font