• DocumentCode
    3687616
  • Title

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

  • Author

    Sundresan Perumal;Norita Md Norwawi;Valliappan Raman

  • Author_Institution
    Faculty of Science and Technology, University Sains Islam Malaysia, Nilai Malaysia
  • fYear
    2015
  • Firstpage
    19
  • Lastpage
    23
  • Abstract
    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.
  • Keywords
    "Digital forensics","Internet of things","Cloud computing","Data models","Analytical models"
  • Publisher
    ieee
  • Conference_Titel
    Digital Information Processing and Communications (ICDIPC), 2015 Fifth International Conference on
  • Type

    conf

  • DOI
    10.1109/ICDIPC.2015.7323000
  • Filename
    7323000