Security Evaluation of Different Hashing Functions with RSA for Digital Signature

Abstract

The emergence of the Internet of Things (IoT) represents a significant trend, where integrating IP, data, and wireless technologies onto a single network yields substantial advantages that are both essential and appealing. However, the amalgamation of these entities introduces novel susceptibilities and opportunities for infiltrating IoT networks, thereby necessitating the perpetual advancement of integrated security methodologies. This study investigates the feasibility of utilizing the Rivest-Shamir-Adleman (RSA) method, based on the Miller-Rabin technique, as a stream key generator with five distinct hashing functions to attain robust digital signatures. The RSA encryption method underwent a comprehensive battery of tests to assess its validity, and its encryption efficacy was evaluated through mathematical analysis. This research examines the assessment of digital signatures by utilizing five distinct hash functions in conjunction with RSA keys. Each signature file was assessed based on four tests: entropy, floating frequency, autocorrelation, and histogram analysis. The tests were conducted on a document with a size of 256 bytes. In addition, nine hash algorithms were utilized, namely SHA224,

Digital signature algorithm based on ElGamal, Diffie-Hellman protocol and the number π

“…As evidence that the bits appearing on the right side of the decimal point of the number π are random, evaluations are performed on the pixels of an image obtained using the bits on the right side of the decimal point of this number. The parameters used in this work to evaluate randomness are the following: entropy, correlation coefficient or simply correlation, goodness-of-fit test χ 2 and discrete Fourier transform [6][7][8]. As a substantial part of the encryption process, the proposed algorithm applies an S-box 8 × 8, in order to ensure the randomness of the signature [9].…”