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ZENODO
Dataset . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
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Passwrod Cracking Dataset and Results

Authors: Adi, Prajanto Wahyu;

Passwrod Cracking Dataset and Results

Abstract

This archive contains the datasets and experimental results used to evaluate password security enhancement methods proposed in the study. 1. Password Datasets The dataset consists of two primary groups of plaintext passwords: Set A (Longer Length, Lower Complexity)Contains passwords with relatively longer character lengths but simpler composition patterns (e.g., limited variation of character types). Set B (Shorter Length, Higher Complexity)Contains shorter passwords with more complex combinations of characters, including uppercase, lowercase, digits, symbols, and extended character sets (ECS). Both sets are constructed based on 16 predefined password patterns, including 15 commonly used patterns and one additional pattern incorporating Extended Character Sets (ECS). Additionally, visual representations (image datasets) are provided to illustrate character distribution patterns and entropy differences across methods. 2. Password Transformation Methods Each plaintext password is processed using three different approaches: Baseline Method Pre-Hash Coding (PHC) Proposed Methods Model 1 (M1): Full-range character remapping Model 2 (M2): Controlled mapping with constrained ECS distribution These methods transform the original passwords into enhanced versions prior to hashing. 3. Hashed Password Datasets All transformed passwords (PHC, M1, and M2) are further processed using a hashing algorithm to produce hashed password datasets, simulating real-world password storage mechanisms. 4. Brute-force Evaluation Results The hashed passwords are subjected to brute-force attacks to evaluate security performance. The archive includes: Cracking time for each password instance Attack success/failure status Comparative results across PHC, M1, and M2 Experiments conducted under: Set A (PCS-based patterns) Set B (Full character space including ECS) 5. Purpose of the Dataset This dataset is designed to support reproducibility and further research on: Password security enhancement techniques Character distribution analysis Entropy vs. practical cracking resistance Lightweight authentication mechanisms for IoT and consumer devices

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Keywords

cracking, dataset, brute-force, password, hashing

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average