Pregled bibliografske jedinice broj: 831962
Evolving Cryptographic Pseudorandom Number Generators
Evolving Cryptographic Pseudorandom Number Generators // Lecture Notes in Computer Science vol. 9921
Edinburgh, Ujedinjeno Kraljevstvo: Springer, 2016. str. 613-622 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 831962 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Evolving Cryptographic Pseudorandom Number Generators
Autori
Picek, Stjepan ; Sisejkovic, Dominik ; Rozic, Vladimir ; Yang, Bohan ; Jakobović, Domagoj ; Mentens, Nele
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Lecture Notes in Computer Science vol. 9921
/ - : Springer, 2016, 613-622
ISBN
978-3-319-45822-9
Skup
Parallel Problem Solving from Nature
Mjesto i datum
Edinburgh, Ujedinjeno Kraljevstvo, 17.09.2016. - 21.09.2016
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Random number generators ; Pseudorandomness ; Cryptography ; Cartesian Genetic Programming ; Statistical tests
Sažetak
Random number generators (RNGs) play an important role in many real-world applications. Besides true hardware RNGs, one important class are deterministic random number generators. Such generators do not possess the unpredictability of true RNGs, but still have a widespread usage. For a deterministic RNG to be used in cryptography, it needs to fulfill a number of conditions related to the speed, the security, and the ease of implementation. In this paper, we investigate how to evolve deterministic RNGs with Cartesian Genetic Programming. Our results show that such evolved generators easily pass all randomness tests and are extremely fast/small in hardware.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
