Evaluating the SUFREE Framework for Ethical Digital Forensics in Indonesia.
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| Titel: | Evaluating the SUFREE Framework for Ethical Digital Forensics in Indonesia. |
|---|---|
| Autoren: | Firdonsyah, Arizona, Purwanto, Purwanto, Riadi, Imam |
| Quelle: | International Journal of Safety & Security Engineering; Oct2025, Vol. 15 Issue 10, p2061-2068, 8p |
| Schlagwörter: | DIGITAL forensics, DATA security failures, COMMUNITY-based participatory research, INDONESIANS, ACCURACY of information, LEADERSHIP ethics, EVALUATION methodology |
| Geografische Kategorien: | INDONESIA |
| Abstract: | The increasing complexity of digital crimes requires digital forensic investigations to be conducted not only with technical rigor but also under clear and accountable ethical governance, particularly in context-sensitive environments such as Indonesia. To address this need, the Supervisory Framework to Respect Ethics (SUFREE) was developed as an ethics-oriented supervisory framework for digital forensic processes using a Participatory Action Research (PAR) approach that involved relevant institutional stakeholders. This study aims to evaluate the effectiveness of SUFREE in guiding ethical digital forensic practice. A multi-criteria vector evaluation method is applied across five key phases of the framework: evidence identification accuracy, integrity of data preservation, quality of evidence examination, validity of analysis results, and completeness of investigation documentation. The evaluation is conducted on a real cyber incident involving an academic information system at a private Indonesian university, with monitoring and validation scores provided by expert evaluators. Normalization and weighted aggregation techniques are used to compute an overall effectiveness score. The results show that SUFREE achieves a final score of 0.763 (76.3%), which falls into the "Effective" category according to the predefined criteria, indicating that the framework provides structured support for embedding ethical principles into digital forensic workflows. However, this evaluation is limited to a single institutional case with two expert evaluators, so the findings should be interpreted as preliminary evidence rather than population-level generalization. [ABSTRACT FROM AUTHOR] |
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| Datenbank: | Complementary Index |
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