Evoluiranje kriptografskog algoritma korištenjem kartezijskog genetskog programiranja

undergraduate thesis

• Title (english): Evolving ciphers with Cartesian genetic programming
• Author: Dominik Milde
• Mentor: Domagoj Jakobović (mentor)
• Committee member: Domagoj Jakobović (predsjednik povjerenstva)
• Committee member: Rudolf Lovrenčić (član povjerenstva)
• Committee member: Josip Jukić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2021-07-14, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

U ovom radu područje kriptografije susreće se s područjem evolucijskog računarstva. Rad pruža uvid u osnovne koncepte kriptografije i kartezijskog genetskog programiranja. Problem sigurne komunikacije u nesigurnom komunikacijskom kanalu preslikan je u optimizacijski problem. Sudionici u komunikacijskom kanalu su pošiljatelj, primatelj i prisluškivač. Kroz eksperimente u kojima sudjeluju pojedini (ili svi) spomenuti sudionici ispitujemo koje varijable utječu na pojedine ishode. U glavnom eksperimentu u kojem sudjeluju sva tri sudionika, pomoću suparničkog učenja evoluiramo sve sudionike sukladno svojim ciljevima.

Abstract (english)

In this paper, the field of cryptography meets the field of evolutionary computing. The paper provides insight into the basic concepts of cryptography and Cartesian genetic programming. The problem of secure communication over an insecure communication channel is transformed into an optimization problem. The participants in the communication channel are sender, recipient and eavesdropper. Through experiments in which individual (or all) mentioned participants participate, we examine which variables affect individual outcomes. During the main experiment in which all three participants participate, we use adversarial learning to evolve all participants according to their goals.

• Keywords: kartezijsko genetsko programiranje; kriptografija; evolucijski algoritmi; optimizacija; genetsko programiranje; simetrični kriptografski algoritam; suparničko učenje
• Keywords (english): Cartesian genetic programming; cryptography; evolutionary algorithms; optimization; genetic programming; symmetric cryptographic algorithm; adversarial learning
• Language: croatian
• URN:NBN: urn:nbn:hr:168:924907
• Study programme: Title: Computing; Study programme type: university; Study level: undergraduate; Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2023-01-14 21:12:01