Pregled bibliografske jedinice broj: 1158922
Generating Prime Numbers Using Genetic Algorithms
Generating Prime Numbers Using Genetic Algorithms // MIPRO 2021 : 44th International Convention : Proceedings / Skala, Karolj (ur.).
Rijeka: Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2021. str. 1399-1405 doi:10.23919/mipro52101.2021.9597026 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1158922 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Generating Prime Numbers Using Genetic Algorithms
Autori
Knezevic, Karlo
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
MIPRO 2021 : 44th International Convention : Proceedings
/ Skala, Karolj - Rijeka : Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2021, 1399-1405
Skup
44th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2021) ; Computer in Education (CE 2021)
Mjesto i datum
Opatija, Hrvatska, 27.09.2021. - 01.10.2021
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
genetic algorithms, prime numbers, Baillie-PSW primality test, RSA algorithm, prime numbers generation
Sažetak
Genetic algorithms are well-known and frequently used heuristic methods for solving optimization problems. In modern cryptography, the generation of large primes has an important role in the implementation of public-key cryptosystems such as RSA. In general, the prime number generation starts from the random number. If the generated random number can pass a specified probabilistic primality test, the random number is tentatively considered as a prime number and applied to a public-key cryptosystem. This paper investigates the application of genetic algorithms for generating large prime numbers that have special significance in cryptography. An introduction to the theory of prime numbers and the methods used to check the primality of a large number are shown. Moreover, the implementation of a genetic algorithm for generating prime numbers with a convenient representation and genetic operators is presented. We compare the efficiency of the existing method for generating prime numbers and genetic algorithms techniques, and we show that GA can be a viable option to generate large prime numbers.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
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Pristup cjelovitom tekstu rada doi docs.mipro-proceedings.com ieeexplore.ieee.orgCitiraj ovu publikaciju:
Časopis indeksira:
- Scopus