Standard Guide for Establishing Confidence in Digital Forensic Results by Error Mitigation Analysis
3.1 Digital forensics is a complex field that is heavily reliant on algorithms that are embedded in automated tools and used to process evidence. Weaknesses or errors in these algorithms, tools, and processes can potentially lead to incorrect findings. Indeed, errors have occurred in a variety of contexts, demonstrating the need for more scientific rigor in digital forensics. This guide proposes a disciplined approach to mitigating potential errors in evidence processing to reduce the risk of inaccuracies, oversights, or misinterpretations in digital forensics. This approach provides a scientific basis for confidence in digital forensic results.
3.2 Error rates are used across the sciences to explain the amount of uncertainty or the limitation of a given result. The goal is to explain to the reader (or receiver of the result) the confidence the provider of the result has that it is correct. Many forensic disciplines use error rates as a part of how they communicate their results. Similarly, digital forensics needs to communicate how and why there is confidence in the results. Because of intrinsic difference between the biological and chemical sciences and computer science, it is necessary to go beyond error rates. One difference between chemistry and computer science is that digital technology is constantly changing and individuals put their computers to unique uses, making it infeasible to develop a representative sample to use for error rate calculations. Furthermore, a digital forensic method may work well in one environment but fail completely in a different environment.
3.3 This document provides a disciplined and structured approach for addressing and explaining potential errors and error rates associated with the use of digital forensic tools/processes in any given environment. This approach to establishing confidence in digital forensic results addresses Daubert considerations.
1.1 This guide provides a process for recognizing and describing both errors and limitations associated with tools used to support digital forensics. This is accomplished by explaining how the concepts of errors and error rates should be addressed in digital forensics. It is important for practitioners and stakeholders to understand that digital forensic techniques and tools have known limitations, but those limitations have differences from errors and error rates in other forensic disciplines. This guide proposes that confidence in digital forensic results is best achieved by using an error mitigation analysis approach that focuses on recognizing potential sources of error and then applying techniques used to mitigating them, including trained and competent personnel using tested and validated methods and practices.
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