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Towards the Internet of Things Forensics: A Data Analytics Perspective
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  • Pimal Khanpara,
  • Ishwa Shah,
  • Sudeep Tanwar,
  • Amit Verma ,
  • Ravi Sharma
Pimal Khanpara
Nirma University Institute of Technology
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Ishwa Shah
Nirma University Institute of Technology
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Sudeep Tanwar
Nirma University of Science and Technology Institute of Technology

Corresponding Author:[email protected]

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Amit Verma
Chandigarh University
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Ravi Sharma
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The widespread use of networked, intelligent, and adaptable devices in various domains, such as smart cities and home automation, climate control, manufacturing and logistics, healthcare, education, and agriculture, has been hastened by recent developments in hardware and software technologies. In all these application domains, the concept of the Internet of Things ( helps to achieve process automation and decrease labor costs. One such subdomain is IoT Forensics which involves Digital Forensics concerning IoT devices, networks, or clouds. In this process of obtaining substantial evidence from the devices, networks, or cloud, a large amount of data and operations on said data are involved. Hence, looking through IoT Forensics through the methodology dealing with data, known as Data Analytics, is essential. This paper presents an interpretation of IoT Forensics from the standpoint of Data Analytics. To explain the same in detail, the paper focuses on IoT Forensics, its methodologies, and how they relate to data analytics stages. Towards the end, the paper discusses current developments in IoT forensics from the Data Analytics perspective, limitations observed in the existing technologies, adoption challenges, and possible future advancements.
11 Dec 2022Submitted to Security and Privacy
12 Dec 2022Submission Checks Completed
12 Dec 2022Assigned to Editor
20 Dec 2022Reviewer(s) Assigned
09 Jan 2023Review(s) Completed, Editorial Evaluation Pending
09 Jan 2023Editorial Decision: Revise Major
20 Jan 20231st Revision Received
24 Jan 2023Submission Checks Completed
24 Jan 2023Assigned to Editor
28 Jan 2023Reviewer(s) Assigned
18 Feb 2023Review(s) Completed, Editorial Evaluation Pending
19 Feb 2023Editorial Decision: Accept