Performance Analysis of Forensic Programs on SQLite Corpus
Indra Jaya Kusuma, Hilal Hudan Nuha, Gandeva Bayu · 2023
In this study, the objective was to meticulously assess the efficacy of multiple forensic programs when applied to a diverse corpus of SQLite databases. The study's author meticulously curated databases of varying sizes and intricate structures, striving to create a representative sample. The forensic programs were rigorously tested across different versions of SQLite, revealing nuanced performance nuances. It is crucial to acknowledge that the programs' efficiency is inherently intertwined with the unique attributes of the analyzed database and the specific version of SQLite in use. This study not only delves into the intricate details of these performance variations but also offers invaluable insights. By shedding light on the dynamic interplay between forensic tools and SQLite databases, this research equips professionals with essential knowledge, enabling them to make informed decisions when selecting tools for forensic analyses.