Analysis of Cryptography Algorithms Implemented in Android Mobile Application

Salkanović, Alen; Ljubić, Sandi; Lerga, Jonatan; Stanković, Ljubiša

Pregled bibliografske jedinice broj: 1165755

Analysis of Cryptography Algorithms Implemented in Android Mobile Application

Salkanović, Alen; Ljubić, Sandi; Lerga, Jonatan; Stanković, Ljubiša

Analysis of Cryptography Algorithms Implemented in Android Mobile Application // Information Technology and Control, 50 (2021), 4; 786-807 (međunarodna recenzija, članak, znanstveni)

CROSBI ID: 1165755 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Analysis of Cryptography Algorithms Implemented in Android Mobile Application

Autori
Salkanović, Alen ; Ljubić, Sandi ; Lerga, Jonatan ; Stanković, Ljubiša

Izvornik
Information Technology and Control (1392-124X) 50 (2021), 4; 786-807

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

Ključne riječi
Encryption Algorithms ; Software Security ; Performance Analysis ; Mobile Devices ; Android Platform

Sažetak
This paper evaluates the performances of numerous encryption algorithms on mobile devices running the Android operating system. The primary objective of our research was to measure and compare the relative performances of tested algorithm implementations (Data Encryption Standard (DES), 3DES, Advanced Encryption Standard (AES), ChaCha20, Blowfish, and Rivest Cipher 4 (RC4)) on the Android platform. The algorithms were compared in terms of CPU utilization by measuring the time required to encrypt and decrypt variable size text files. Besides evaluating the six common symmetric encryption ciphers, a comparison has been conducted for several Password-Based Encryption (PBE) algorithms. Diverse cipher transformations were evaluated for each algorithm by utilizing various feedback modes and padding schemes. Two smartphone devices were used for testing, with different versions of the Android operating system and hardware specifications. The summarized performance outcomes for various cipher transformations are presented to demonstrate the effectiveness of each algorithm.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

POVEZANOST RADA

Projekti:
IP-2018-01-3739 - Sustav potpore odlučivanju za zeleniju i sigurniju plovidbu brodova (DESSERT) (Prpić-Oršić, Jasna, HRZZ - 2018-01) ( CroRIS)
MINGO-ESIF-KK.01.2.1.02.0179 - ABsistemDCiCloud (ABsistemDCiCloud) (Lerga, Jonatan, MINGO - Fond: Europski fond za regionalni razvoj Program: OP Konkurentnost i kohezija 2014. - 2020. Jačanje gospodarstva primjenom istraživanja i inovacija Područje: IRI - Povećanje razvoja novih proizvoda i usluga koji proizlaze iz aktivnosti istraživanja i raz) ( CroRIS)
VLASTITA-SREDSTVA-uniri-tehnic-17 - Računalom potpomognuta digitalna analiza i klasifikacija signala (UNIRI-TEHNIC-18-17) (Lerga, Jonatan, VLASTITA-SREDSTVA - UNIRI2018) ( CroRIS)
MZO-BI-HR/20-21-043 - Analiza hiperspektralnih slika korištenjem strojnog učenja i adaptivnog filtrianja prilagođenog podacima (Lerga, Jonatan, MZO ) ( CroRIS)
NadSve-Sveučilište u Rijeci-uniri-tehnic-18-15 - Razvoj postupaka temeljenih na strojnom učenju za prepoznavanje bolesti i ozljeda iz medicinskih slika (Štajduhar, Ivan, NadSve ) ( CroRIS)