Document is current

Article History

Received: 2 May 2024

Accepted: 26 October 2024

First Online: 27 November 2024

Declarations

:

: The entirety of this research, including expenses related to data collection, data processing, software tools, and hardware, has been fully funded by the authors themselves, and no external funding has been sought or obtained for these endeavors. All experiments involving software samples and subsequent analyzes were performed solely for research purposes within controlled environments. Data privacy and security were meticulously upheld by using publicly available software samples and safeguarding against the inclusion of any sensitive or personal information in the dataset or analysis logs. The execution of ransomware and benign samples took place exclusively within isolated sandbox environments, preventing any potential external harm and minimizing unintended consequences. As no human participants were involved, informed consent was not applicable, although ethical deliberations surrounding the analysis were taken into account to ensure responsible research practices. The transparency of the methodology is a fundamental aspect of this study, with complete procedures, algorithms, and steps described in detail to facilitate reproducibility and enable comprehensive evaluation. The authors have conscientiously attributed all tools, libraries, and datasets used in the study and invite constructive critique and peer review to enhance the integrity of the research. This paper maintains a strong commitment to ethical standards throughout the research process. All activities have been carried out with integrity and in accordance with established guidelines to ensure the credibility and responsibility of the findings presented.

: The authors declare that there are no Conflict of interest associated with the conception, execution, or publication of this research. The study was undertaken with complete impartiality and objectivity, and the authors have no financial, professional, or personal affiliations that could potentially bias or influence the presentation of the study’s findings.