Analysis of Cryptography Algorithms Implemented in Android Mobile Application

Abstract

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.

Ensuring privacy and confidentiality of cloud data: A comparative analysis of diverse cryptographic solutions based on run time trend

“…ERSA encryption times also showed a proportional relationship between data size and encryption time [17]. This made their encryption times predictable, deterministic, and patterned which confirms the work of Masram et al [39] and [38,[40][41][42][43][44][45]. The use of longer keys ensures higher security but results in higher CPU utilization when encryption time is dependent on data size (O (N)) [46].…”

“…From these discussions, it could be concluded that data size is proportional to the decryption time for Salsa20, Chaca20, and ERSA as indicated in Table 2. This makes their trend of decryption time deterministic, predictable, and linear which is supported by the works of [44,51]. With a linear trend of decryption time, hackers can predict, intercept and modify data [52].…”

Secure and privacy-preserving sharing of personal health records with multi-party pre-authorization verification

“…However, they are performed independently and not concurrently in a single step. To understand these overheads, we tap on the work of Alen et al, [105] which analyses and evaluates the performance of several cryptographic algorithms on file size up to 10 megabytes using mobile devices with varied hardware specifications running different versions of the Android operating system. Using AES-GCM 128 bits key size on 10 kilobytes, it takes just 11ms.…”