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Internet of Things(IoT) digital forensic investigation model: Top-down forensic approach methodology

机译:物联网(IoT)数字取证调查模型:自上而下的取证方法

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The Internet of Things (IoT) is the interconnection of uniquely identifiable embedded computing devices within the existing Internet infrastructure. Typically, internet of things (IoT) is expected to offer advanced connectivity of devices, systems, and services that goes beyond machine-to-machine communications (M2M) and covers a variety of protocols, domains, and applications. The interconnection of these embedded devices including smart objects, is expected to usher in automation in nearly all fields, while also enabling advanced applications like a Smart Grid. The main research challenge in Internet of things (IoT) for the forensic investigators is based size of the objects of forensic interest, relevancy, blurry network boundaries and edgeless networks, especially on method for conducting the investigation. The aim of this paper is to identify the best approach by designing a novel model to conduct the investigation situations for digital forensic professionals and experts. There was existing research works which introduce models for identifying the objects of forensics interest in investigations, but there were no rigorous testing for accepting the approach. Currently in this work, an integrated model is designed based on triage model and 1-2-3 zone model for volatile based data preservation.
机译:物联网(IoT)是现有Internet基础架构中唯一可识别的嵌入式计算设备的互连。通常,物联网(IoT)有望提供设备,系统和服务的高级连接性,而不仅仅是机器对机器通信(M2M),还涵盖各种协议,域和应用程序。这些嵌入式设备(包括智能对象)的互连有望在几乎所有领域中实现自动化,同时还支持诸如智能电网之类的高级应用程序。物联网(IoT)对法医研究人员的主要研究挑战是基于法医兴趣,相关性,模糊的网络边界和无边界网络的对象大小,尤其是进行调查的方法。本文的目的是通过设计一种新颖的模型来为数字法证专业人士和专家进行调查,从而确定最佳方法。现有的研究工作介绍了用于识别调查中法医学感兴趣的对象的模型,但是没有严格的测试方法来接受这种方法。当前,在这项工作中,基于分类模型和1-2-3区域模型设计了一个集成模型,用于基于易失性的数据保存。

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