论文标题
部分可观测时空混沌系统的无模型预测
Multi-platform Process Flow Models and Algorithms for Extraction and Documentation of Digital Forensic Evidence from Mobile Devices
论文作者
论文摘要
对移动和便携式小工具进行证据的越来越多的需求增加了为研究这些小工具的研究的可靠措施的必要需求。存在许多差异，同时详细介绍了每个小工具的要求，以帮助侦探和审查员保证从任何移动设备中提取/收集的任何类似的证据都有充分的记录，并且结果可以重复，如果考试的结果可重复和防御性，则必须实施可靠且有据可查的调查过程。在本文中，我们开发了一种通用过程流模型，用于在Android，Windows，iOS和BlackBerry操作系统上运行的移动设备中提取数字证据。研究采用的调查方法和广泛的文献回顾了收集数据的手段。开发的模型是通过专家意见来验证的。这项工作的结果可以指导解决方案开发人员确保对移动设备的证据提取工具的标准化。
The increasing need for the examination of evidence from mobile and portable gadgets increases the essential need to establish dependable measures for the investigation of these gadgets. Many differences exist while detailing the requirement for the examination of each gadget, to help detectives and examiners in guaranteeing that of any kind piece of evidence extracted/ collected from any mobile devices is well documented and the outcomes can be repeatable, a reliable and well-documented investigation process must be implemented if the results of the examination are to be repeatable and defensible in courts of law. In this paper we developed a generic process flow model for the extraction of digital evidence in mobile devices running on android, Windows, iOs and Blackberry operating system. The research adopted survey approach and extensive literature review a s means to collect data. The models developed were validate through expert opinion. Results of this work can guide solution developers in ensuring standardization of evidence extraction tools for mobile devices.
