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Acquisition and Analysis of Forensic Artifacts from Raspberry Pi an Internet of Things Prototype Platform

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Recent Findings in Intelligent Computing Techniques

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 707))

Abstract

The emergence of novel devices with admissible computational and communication capabilities has resulted in fabrication of portable and customizable Internet of Things (IoT) products like Raspberry Pi (RPi). The rapid proliferation of such devices has created new opportunities for offensive users and offers considerable challenges to digital investigators. It is necessary for investigators to diligently understand the implicit data formats and the types of evidence present in such devices. In this chapter, we present trade-off triangle which highlights the importance of digital forensics process towards the scenario of IoT enabled services. This chapter also proposes a common methodology for investigating forensic artifacts on IoT prototyping hardware platform. Based on the proposed methodology, a proof-of-concept tool called as RIFT has been developed as an outcome of research that aims the acquisition and preservation of forensically relevant static as well as volatile artifacts from RPi-IoT platform. Several experiments were carried out on the considered platform to reveal the vital evidence that can noticeably assist in forensic investigation. Finally, the preserved evidences are evaluated and presented to illustrate their usefulness and significances in digital forensic.

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Notes

  1. 1.

    www.raspberrypi.org.

  2. 2.

    http://github.com/niteshdiat2014/RIFT.

  3. 3.

    http://sqlitebrowser.org.

  4. 4.

    http://sqlabs.com/sqlitemanager.php.

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Author information

Authors and Affiliations

  1. Department of Computer Science & Engineering, Defence Institute of Advanced Technology (DU), Pune, 411025, India

    Nitesh K. Bharadwaj & Upasna Singh

Authors
  1. Nitesh K. Bharadwaj
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  2. Upasna Singh
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Corresponding author

Correspondence to Nitesh K. Bharadwaj .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, National Institute of Technology, Rourkela, Rourkela, Odisha, India

    Pankaj Kumar Sa

  2. Department of Computer Science and Engineering, National Institute of Technology, Rourkela, Rourkela, Odisha, India

    Sambit Bakshi

  3. Department of Computer Engineering and Informatics, University of Patras, Patras, Greece

    Ioannis K. Hatzilygeroudis

  4. Department of Computer Science and Engineering, National Institute of Technology, Rourkela, Rourkela, Odisha, India

    Manmath Narayan Sahoo

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Bharadwaj, N.K., Singh, U. (2019). Acquisition and Analysis of Forensic Artifacts from Raspberry Pi an Internet of Things Prototype Platform. In: Sa, P., Bakshi, S., Hatzilygeroudis, I., Sahoo, M. (eds) Recent Findings in Intelligent Computing Techniques . Advances in Intelligent Systems and Computing, vol 707. Springer, Singapore. https://doi.org/10.1007/978-981-10-8639-7_32

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