SpiderNet and forensics of the IoT

Mo Adda; Nancy Scheidt

doi:10.1109/ICARAI67046.2025.11137901

SpiderNet and forensics of the IoT

Mo Adda, Nancy Scheidt

School of Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The rapid growth of the Internet of Things (IoT) has introduced significant hurdles for law enforcement in conducting forensic investigations. Investigators worldwide face difficulties in retrieving evidence from IoT devices due to the vast range of hardware, networks, and cloud-based systems involved. Maintaining the authenticity of digital evidence is a major concern, as it remains susceptible to cyber threats targeting data centres and large-scale server infrastructures. Addressing these challenges, along with managing the movement of forensic evidence, adds further complexity. This study explores how the SpiderNet framework, leveraging cloud computing concepts, can support law enforcement in investigating crimes involving IoT technology. A case study is presented to validate the effectiveness of this approach.

Original language	English
Title of host publication	2025 International Conference Automatics, Robotics and Artificial Intelligence (ICARAI)
Publisher	Institute of Electrical and Electronics Engineers Inc.
Number of pages	6
ISBN (Electronic)	9781665465663
ISBN (Print)	9781665465670
DOIs	https://doi.org/10.1109/ICARAI67046.2025.11137901
Publication status	Published - 3 Sept 2025
Event	International Conference Automatics, Robotics & Artificial Intelligence - Faculty of Automatics of the Technical Universiy of Sofia, Sozopol, Bulgaria Duration: 13 Jun 2025 → 15 Jun 2025 https://icarai.tu-sofia.bg/

Conference

Conference	International Conference Automatics, Robotics & Artificial Intelligence
Abbreviated title	ICARAI
Country/Territory	Bulgaria
City	Sozopol
Period	13/06/25 → 15/06/25
Internet address	https://icarai.tu-sofia.bg/

Keywords

Retrieval and preservation of evidential data
Internet of Things Forensics
SpiderNet

Access to Document

10.1109/ICARAI67046.2025.11137901

Cite this

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title = "SpiderNet and forensics of the IoT",

abstract = "The rapid growth of the Internet of Things (IoT) has introduced significant hurdles for law enforcement in conducting forensic investigations. Investigators worldwide face difficulties in retrieving evidence from IoT devices due to the vast range of hardware, networks, and cloud-based systems involved. Maintaining the authenticity of digital evidence is a major concern, as it remains susceptible to cyber threats targeting data centres and large-scale server infrastructures. Addressing these challenges, along with managing the movement of forensic evidence, adds further complexity. This study explores how the SpiderNet framework, leveraging cloud computing concepts, can support law enforcement in investigating crimes involving IoT technology. A case study is presented to validate the effectiveness of this approach.",

keywords = "Retrieval and preservation of evidential data, Internet of Things Forensics, SpiderNet",

author = "Mo Adda and Nancy Scheidt",

note = "No ISSN; International Conference Automatics, Robotics \& Artificial Intelligence, ICARAI ; Conference date: 13-06-2025 Through 15-06-2025",

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doi = "10.1109/ICARAI67046.2025.11137901",

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booktitle = "2025 International Conference Automatics, Robotics and Artificial Intelligence (ICARAI)",

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TY - GEN

T1 - SpiderNet and forensics of the IoT

AU - Adda, Mo

AU - Scheidt, Nancy

N1 - No ISSN

PY - 2025/9/3

Y1 - 2025/9/3

N2 - The rapid growth of the Internet of Things (IoT) has introduced significant hurdles for law enforcement in conducting forensic investigations. Investigators worldwide face difficulties in retrieving evidence from IoT devices due to the vast range of hardware, networks, and cloud-based systems involved. Maintaining the authenticity of digital evidence is a major concern, as it remains susceptible to cyber threats targeting data centres and large-scale server infrastructures. Addressing these challenges, along with managing the movement of forensic evidence, adds further complexity. This study explores how the SpiderNet framework, leveraging cloud computing concepts, can support law enforcement in investigating crimes involving IoT technology. A case study is presented to validate the effectiveness of this approach.

AB - The rapid growth of the Internet of Things (IoT) has introduced significant hurdles for law enforcement in conducting forensic investigations. Investigators worldwide face difficulties in retrieving evidence from IoT devices due to the vast range of hardware, networks, and cloud-based systems involved. Maintaining the authenticity of digital evidence is a major concern, as it remains susceptible to cyber threats targeting data centres and large-scale server infrastructures. Addressing these challenges, along with managing the movement of forensic evidence, adds further complexity. This study explores how the SpiderNet framework, leveraging cloud computing concepts, can support law enforcement in investigating crimes involving IoT technology. A case study is presented to validate the effectiveness of this approach.

KW - Retrieval and preservation of evidential data

KW - Internet of Things Forensics

KW - SpiderNet

U2 - 10.1109/ICARAI67046.2025.11137901

DO - 10.1109/ICARAI67046.2025.11137901

M3 - Conference contribution

SN - 9781665465670

BT - 2025 International Conference Automatics, Robotics and Artificial Intelligence (ICARAI)

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - International Conference Automatics, Robotics & Artificial Intelligence

Y2 - 13 June 2025 through 15 June 2025

ER -

SpiderNet and forensics of the IoT

Abstract

Conference

Keywords

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