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

机译:事物互联网(物联网)数字法医调查模式:自上而下的法医方法方法

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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:事物互联网(IOT)是现有互联网基础设施内唯一可识别的嵌入式计算设备的互连。通常,预计事物互联网(IOT)将提供超越机器到机器通信(M2M)的设备,系统和服务的高级连接,并涵盖各种协议,域和应用程序。这些嵌入式设备包括智能对象的互连,预计将在几乎所有字段中迎过自动化,同时还可以像智能电网一样启用高级应用程序。法医调查人员的事物互联网(物联网)的主要研究挑战是基于法医兴趣,相关性,模糊网络边界和无线网络的对象的​​大小,特别是在进行调查的方法上。本文的目的是通过设计新型模型来识别最佳方法,以进行数字法医专业人士和专家的调查情况。存在现有的研究作品,介绍了识别对调查的质量对象的模型,但没有严格的测试接受这种方法。目前在这项工作中,基于分类模型和1-2-3型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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