Fuzzy Trace Validation: Toward an Offline Forensic Tracking Framework

S. Al-Kuwari, S. Wolthusen
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引用次数: 5

Abstract

Traditional digital forensics has been almost exclusively concerned with extracting digital traces from electronic devices to reconstruct events surrounding a particular crime. However, it might be equally important to extract complementary physical traces to learn not only about the digital activities of the suspects, but also their physical ones. In this paper, we motivate this relatively new line of research that is actually a hybrid between digital and computational forensics, we call it “offline forensic tracking” where mobility traces of an individual is reconstructed from a set of incomplete traces. We propose a reconstruction framework under various mobility models and briefly discuss how it can adopt a fuzzy Bayesian approach to reconstruct the traces. Beside reconstruction, it is also important to validate the available traces which the reconstructed ones will be based on. Therefore, as a second contribution, we show how to carry out trace validation using fuzzy logic.
模糊跟踪验证:走向离线取证跟踪框架
传统的数字取证几乎只关注从电子设备中提取数字痕迹,以重建围绕特定犯罪的事件。然而,提取互补的物理痕迹可能同样重要,不仅可以了解嫌疑人的数字活动,还可以了解他们的物理活动。在本文中,我们推动了这一相对较新的研究方向,它实际上是数字取证和计算取证的混合体,我们称之为“离线取证跟踪”,即从一组不完整的痕迹中重建个人的移动痕迹。我们提出了一种基于各种迁移模型的重建框架,并简要讨论了它如何采用模糊贝叶斯方法来重建轨迹。除了重建之外,验证重建所依据的可用迹线也很重要。因此,作为第二个贡献,我们展示了如何使用模糊逻辑执行跟踪验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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