Input parameters authentication through dynamic software watermarking

Modern civilization relies on computers and the Internet. Web services and microservices make many processes more accessible, often without users realizing the extent of their dependency. As digitalization spreads, the integrity of input parameters used by programmed methods becomes crucial for generating accurate and reliable outcomes, which are essential for the proper functioning of society. This paper introduces a dynamic software watermarking approach designed to validate the authenticity of input parameters in high-level programming language functions. The proposed approach operates without interfering with software functionalities and is resilient to code optimization, obfuscation, and other transformations. The experimental results demonstrate the robustness of our method, ensuring 100% accuracy in detecting tampering with parameter values across all test cases.

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Publication Details

Journal
Frontiers in Computer Science
Published
2025-11-11
DOI
https://doi.org/10.3389/fcomp.2025.1643075
Primary Topic
Advanced Malware Detection Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Input parameters authentication through dynamic software watermarking

Maikel Lázaro Pérez Gort
Frontiers in Computer Science
Advanced Malware Detection Techniques
article

Input parameters authentication through dynamic software watermarking

Maikel Lázaro Pérez Gort
article en

Abstract

Modern civilization relies on computers and the Internet. Web services and microservices make many processes more accessible, often without users realizing the extent of their dependency. As digitalization spreads, the integrity of input parameters used by programmed methods becomes crucial for generating accurate and reliable outcomes, which are essential for the proper functioning of society. This paper introduces a dynamic software watermarking approach designed to validate the authenticity of input parameters in high-level programming language functions. The proposed approach operates without interfering with software functionalities and is resilient to code optimization, obfuscation, and other transformations. The experimental results demonstrate the robustness of our method, ensuring 100% accuracy in detecting tampering with parameter values across all test cases.

Frontiers in Computer ScienceVol. 7
Ca' Foscari University of Venice (IT)
European Commission
Openalex Percentile: Top 58%
Advanced Malware Detection Techniques
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Input parameters authentication through dynamic software watermarking — Maikel Lázaro Pérez Gort · Frontiers in Computer Science (2025) | TGRS Research Map | TGRS