Abstract
The data breach and the integrity violation of remote data remain significant issues in the domain of information security. A provably-secure hash function aids in providing solutions to integrity-related issues. Nevertheless, the choice of a provably-secure hash function has to be made with caution from the perspective of security. This research study attempts to identify the weakness of contemporary keyless hash functions and proposes an algorithm called a provably secure subset hash function (PSSHF). The objectives of the studies are reinforcing the internal structure of random oracle (RO), intensifying stochastic deportment, presenting computationally infeasible conditions for reverse decoding, and forestalling block-level and differential attacks through subsets and polynomial functions. The avalanche response of PSSHF is 50.06% and is higher than that of its contemporary variants. Likewise, the Near-collision response of PSSHF is 49.94% and is the least among its other similitudes. The empirical analysis of the effect of avalanche proves the novel design modifies 93.78% of output symbols besides excelling its other counterparts on random behavior. The runtime response proves the PSSHF processes short messages with acceptable delay. Therefore, the proposed PSSHF can be considered a perfect replacement for its similitudes in respect of the short messages for higher security.
| Original language | English |
|---|---|
| Pages (from-to) | 310-323 |
| Number of pages | 14 |
| Journal | Journal of King Saud University - Computer and Information Sciences |
| Volume | 35 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2023 Jan |
Bibliographical note
Publisher Copyright:© 2022 The Author(s)
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- One-way secure subset hash function
- polynomial digest for MDC
- Polynomial digest function
- Provably secure subset hash functions
- Random oracle design with polynomial function
ASJC Scopus subject areas
- General Computer Science
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