1.1 本指南提供了一个识别和描述与用于支持数字取证的工具相关的错误和限制的过程。这是通过解释在数字取证中应如何处理错误和错误率的概念来实现的。从业者和利益相关者必须了解数字取证技术和工具具有已知的局限性，但这些局限性与其他取证学科中的错误和错误率不同。本指南提出，最好通过使用错误缓解分析方法来实现对数字取证结果的信心，该方法侧重于识别潜在的错误源，然后应用用于缓解错误的技术，包括使用经过测试和验证的方法和实践的训练有素的称职人员。 ====意义和用途====== 3.1 数字取证是一个复杂的领域，严重依赖嵌入自动工具并用于处理证据的算法。这些算法、工具和过程中的弱点或错误可能会导致错误的发现。事实上，错误发生在各种情况下，这表明数字取证需要更严格的科学性。本指南提出了一种有纪律的方法来减少证据处理中的潜在错误，以减少数字取证中的不准确、疏忽或误解风险。该方法为数字取证结果的可信度提供了科学依据。 3.2 误差率用于解释给定结果的不确定性或局限性。 目的是向读者（或结果接收者）解释结果提供者对结果正确性的信心。许多法医学学科将错误率作为其传达结果的一部分。同样，数字取证需要传达如何以及为什么对结果有信心。由于生物和化学科学与计算机科学之间的内在差异，有必要超越错误率。化学和计算机科学之间的一个区别是，数字技术在不断变化，个人将其计算机用于独特的用途，因此不可能开发用于错误率计算的代表性样本。 此外，数字取证方法可能在一个环境中工作良好，但在另一个环境中完全失败。 3.3 本文件提供了一种严谨、结构化的方法，用于解决和解释与在任何给定环境中使用数字取证工具/流程相关的潜在错误和错误率。这种建立数字取证结果可信度的方法解决了以下问题: 道伯特 注意事项。

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. ====== Significance And Use ====== 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.