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Pregled bibliografske jedinice broj: 845442

Immunological algorithms paradigm for construction of Boolean functions with good cryptographic properties


Picek, Stjepan; Sisejković, Dominik; Jakobović, Domagoj
Immunological algorithms paradigm for construction of Boolean functions with good cryptographic properties // Engineering applications of artificial intelligence, 62 (2017), 320-330 doi:10.1016/j.engappai.2016.11.002 (međunarodna recenzija, članak, znanstveni)


Naslov
Immunological algorithms paradigm for construction of Boolean functions with good cryptographic properties

Autori
Picek, Stjepan ; Sisejković, Dominik ; Jakobović, Domagoj

Izvornik
Engineering applications of artificial intelligence (0952-1976) 62 (2017); 320-330

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Artificial immune systems ; Evolutionary algorithms ; Boolean functions ; Cryptography ; Comparison ; Efficiency analysis

Sažetak
In this paper we investigate the efficiency of two immunological algorithms (CLONALG and opt-IA) in the evolution of Boolean functions suitable for use in cryptography. Although in its nature a combinatorial problem, we experiment with two representations of solutions, namely, the bitstring and the floating point based representation. The immunological algorithms are compared with two commonly used evolutionary algorithms – genetic algorithm and evolution strategy. To thoroughly investigate these algorithms and representations, we use four different fitness functions that differ in the number of parameters and difficulty. Our results indicate that for smaller dimensions immunological algorithms behave comparable with evolutionary algorithms, while for the larger dimensions their performance is somewhat worse. When considering only immunological algorithms, opt-IA outperforms CLONALG in most of the experiments. The difference in the representation for those algorithms is also clear where floating point works better with smaller problem sizes and bitstring representation works better for larger Boolean functions.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA


Projekt / tema
HRZZ-IP-2014-09-4882 - Heuristička optimizacija u kriptologiji (Domagoj Jakobović, )

Ustanove
Fakultet elektrotehnike i računarstva, Zagreb

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


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