Kriptografski algoritmi za uređaje s ograničenim resursima

master's thesis

• Title (english): Cryptographic algorithms for resource-constrained devices
• Author: Brigita Rusan
• Mentor: Andrej Dujella (mentor)
• Committee member: Andrej Dujella (predsjednik povjerenstva)
• Committee member: Marko Horvat (član povjerenstva)
• Committee member: Rudi Mrazović (član povjerenstva)
• Committee member: Mladen Jurak (član povjerenstva)
• Granter: University of Zagreb; Faculty of Science; (Department of Mathematics); Zagreb
• Defense date and country: 2025-02-27, Croatia
• Scientific / art field, discipline and subdiscipline: NATURAL SCIENCES; Mathematics; Mathematical Logic and Accounting

Abstract

Ovaj rad proučava kriptografske algoritme namijenjene uređajima s ograničenim resursima, s posebnim naglaskom na algoritme prikladne za korištenje u kontekstu Interneta stvari (IoT). Kroz analizu kriptografskih algoritama poput Present, Simon, Speck, Twine, Prince i Rectangle, može se zaključiti da svaki od njih ima svoje prednosti i nedostatke za uređaje s ograničenim resursima, posebno u IoT okruženju. Algoritmi kao što su Present i Speck, zbog svoje jednostavne strukture i optimiziranih... More tablica, idealni su za uređaje s ograničenim procesorskim kapacitetom i memorijom, nudeći dobar balans između sigurnosti i performansi. Algoritmi poput Simona i Twinea također pružaju dobar kompromis, no njihova implementacija može biti složenija, što može utjecati na učinkovitost u IoT uređajima s ograničenim resursima. Algoritmi Prince i Rectangle, koji naglašavaju energetsku učinkovitost, prikladni su za IoT uređaje koji zahtijevaju visoku energetsku učinkovitost, ali njihova složenost može otežati implementaciju. Pseudokodovi analiziranih algoritama omogućuju fleksibilnost u primjeni i prilagodbi za specifične IoT scenarije, a algoritmi poput Specka omogućuju prilagodbu ključeva i broja operacija, što ih čini prilagodljivima različitim sigurnosnim zahtjevima. Zaključno, izbor kriptografskog algoritma za IoT sustave ovisi o specifičnim sigurnosnim zahtjevima, performansama uređaja i energetskim potrebama, a rezultati istraživanja pomažu u boljem odabiru algoritama za konkretne primjene. Less

Abstract (english)

This paper studies cryptographic algorithms intended for resource-constrained devices, with a particular focus on algorithms suitable for use in the context of the Internet of Things (IoT). Through the analysis of cryptographic algorithms such as Present, Simon, Speck, Twine, Prince, and Rectangle, it can be concluded that each of them has its advantages and disadvantages for devices with limited resources, especially in IoT environments. Algorithms such as Present and Speck, due to... More their simple structure and optimized tables, are ideal for devices with limited processing power and memory, offering a good balance between security and performance. Algorithms like Simon and Twine also provide a good compromise, but their implementation may be more complex, which can affect efficiency in IoT devices with limited resources. Algorithms like Prince and Rectangle, which emphasize energy efficiency, are suitable for IoT devices that require high energy efficiency, but their complexity may make implementation more difficult. The pseudocodes of the analyzed algorithms provide flexibility in application and adaptation to specific IoT scenarios, and algorithms like Speck allow for the adjustment of key lengths and the number of operations, making them adaptable to different security requirements. In conclusion, the choice of cryptographic algorithm for IoT systems depends on specific security requirements, device performance, and energy needs, and the results of this research help in better selecting algorithms for specific applications. Less

• Keywords: Kriptografski algoritmi; Present; Simon; Speck; Twine; Prince; Rectangle; uređaji ograničenih resursa; laka kriptografija; Internet stvari.
• Keywords (english): Cryptographic algorithms; Present; Simon; Speck; Twine; Prince; Rectangle; resource-constraint devices; lightweight cryptography; Internet of Things.
• Language: croatian
• URN:NBN: urn:nbn:hr:217:857265
• Study programme: Title: Computer science and mathematics; Study programme type: university; Study level: graduate; Academic / professional title: sveučilišni magistar računarstva i matematike (sveučilišni magistar računarstva i matematike)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2025-02-10 18:30:54