Towards a digital forensic science

M. Olivier
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引用次数: 2

Abstract

The scientific principles that underlie digital forensic science are still not clear. Possible foundations have been proposed by Gladyshev, Carrier, Cohen, The Scientific Working Group on Digital Evidence of the US Department of Justice and others. However, all these proposals, although valuable contributions, do not provide a satisfactory scientific basis. The current article argues that the search for a suitable foundation is hampered by the conflation of science used for investigative purposes and science used for probative purposes. We argue that some aspects of forensic science are indeed useful for both purposes, but that large portions of the application of science for use in matters of law are only applicable to one of these categories. The paper focuses on the probative use of science for matters of law. We suggest that the explicit focus on proof (rather than investigation) leads to a clearer understanding of the notion of the claims to be proven. Based on this it is shown that such claims may be expressed as propositions that can be proven, disproven, or determined to be ambiguous given the available evidence using well-known computing concepts. It also indicates how this approach helps one to determine the accuracy (which will not always be the opposite of error rates) of any findings. Given its specific focus the paper establishes a basis for digital forensic science without asserting that it is the only possible scientific basis.
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走向数字法医科学
数字法医科学背后的科学原理仍然不清楚。Gladyshev、Carrier、Cohen、美国司法部数字证据科学工作组等人提出了可能的基础。然而,所有这些建议,虽然有宝贵的贡献,但并没有提供令人满意的科学依据。本文认为,为了调查目的而使用的科学和为了证明目的而使用的科学的合并阻碍了寻找合适的基础。我们认为,法医学的某些方面确实对这两种目的都有用,但在法律事务中使用的大部分科学应用仅适用于其中一种类别。本文的重点是科学在法律问题上的证明应用。我们认为,明确关注证据(而不是调查)可以更清楚地理解要证明的主张的概念。在此基础上,它表明,这样的主张可以表达为命题,可以证明,反驳,或确定是模棱两可的给定证据使用众所周知的计算概念。它还指出了这种方法如何帮助人们确定任何发现的准确性(这并不总是与错误率相反)。鉴于其具体的重点,本文建立了数字法医科学的基础,而不是断言它是唯一可能的科学基础。
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