Making decision on sharing forensic data with the fuzzy logic approach

Nancy Scheidt; Gulsum Akkuzu; Mo Adda

doi:10.1109/IS48319.2020.9200142

Making decision on sharing forensic data with the fuzzy logic approach

Nancy Scheidt
, Gulsum Akkuzu
, Mo Adda

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

264 Downloads (Pure)

Abstract

Internet of Things (IoT) devices advance continuously and with such development so do the issues and complexity in their forensic investigation. Worldwide investigators face challenges in retrieving evidence from the IoT environment, which includes Devices, Networks and the Cloud. Creating a report which then can be presented in the court of law is one of the most crucial steps during such forensic investigations. In this article, we propose a Hybrid Forensic IoT Server model which registers devices and stores their data for examination purposes. Furthermore, we developed models to calculate values for report accuracy, evidence accuracy and investigator expertises as well as a new way of decision making in forensic data sharing utilising the fuzzy logic decision making system.

Original language	English
Title of host publication	Proceedings of the 2020 IEEE 10th International Conference on Intelligent Systems (IS)
Publisher	Institute of Electrical and Electronics Engineers Inc.
Number of pages	7
ISBN (Electronic)	978-1-7281-5456-5
ISBN (Print)	978-1-7281-5457-2
DOIs	https://doi.org/10.1109/IS48319.2020.9200142
Publication status	Published - 18 Sept 2020
Event	2020 IEEE 10th International Conference on Intelligent Systems - Varna, Bulgaria Duration: 28 Aug 2020 → 30 Aug 2020

Publication series

Name	Proceedings of the 2020 IEEE 10th International Conference on Intelligent Systems (IS)
Publisher	IEEE
ISSN (Print)	1541-1672

Conference

Conference	2020 IEEE 10th International Conference on Intelligent Systems
Country/Territory	Bulgaria
City	Varna
Period	28/08/20 → 30/08/20

Keywords

forensic investigation
IoT server
fuzzy logic
forensic data sensitivity
investigator expertise
forensic report

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10.1109/IS48319.2020.9200142

Making_Decision_on_Sharing_Forensic_Data_with_the_Fuzzy_Logic_Approach
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Accepted author manuscript (Post-print), 496 KB

Cite this

Scheidt, N., Akkuzu, G., & Adda, M. (2020). Making decision on sharing forensic data with the fuzzy logic approach. In Proceedings of the 2020 IEEE 10th International Conference on Intelligent Systems (IS) (Proceedings of the 2020 IEEE 10th International Conference on Intelligent Systems (IS)). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IS48319.2020.9200142

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title = "Making decision on sharing forensic data with the fuzzy logic approach",

abstract = "Internet of Things (IoT) devices advance continuously and with such development so do the issues and complexity in their forensic investigation. Worldwide investigators face challenges in retrieving evidence from the IoT environment, which includes Devices, Networks and the Cloud. Creating a report which then can be presented in the court of law is one of the most crucial steps during such forensic investigations. In this article, we propose a Hybrid Forensic IoT Server model which registers devices and stores their data for examination purposes. Furthermore, we developed models to calculate values for report accuracy, evidence accuracy and investigator expertises as well as a new way of decision making in forensic data sharing utilising the fuzzy logic decision making system.",

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Scheidt, N, Akkuzu, G & Adda, M 2020, Making decision on sharing forensic data with the fuzzy logic approach. in Proceedings of the 2020 IEEE 10th International Conference on Intelligent Systems (IS). Proceedings of the 2020 IEEE 10th International Conference on Intelligent Systems (IS), Institute of Electrical and Electronics Engineers Inc., 2020 IEEE 10th International Conference on Intelligent Systems, Varna, Bulgaria, 28/08/20. https://doi.org/10.1109/IS48319.2020.9200142

Making decision on sharing forensic data with the fuzzy logic approach. / Scheidt, Nancy; Akkuzu, Gulsum; Adda, Mo.
Proceedings of the 2020 IEEE 10th International Conference on Intelligent Systems (IS). Institute of Electrical and Electronics Engineers Inc., 2020. (Proceedings of the 2020 IEEE 10th International Conference on Intelligent Systems (IS)).

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

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AB - Internet of Things (IoT) devices advance continuously and with such development so do the issues and complexity in their forensic investigation. Worldwide investigators face challenges in retrieving evidence from the IoT environment, which includes Devices, Networks and the Cloud. Creating a report which then can be presented in the court of law is one of the most crucial steps during such forensic investigations. In this article, we propose a Hybrid Forensic IoT Server model which registers devices and stores their data for examination purposes. Furthermore, we developed models to calculate values for report accuracy, evidence accuracy and investigator expertises as well as a new way of decision making in forensic data sharing utilising the fuzzy logic decision making system.

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KW - forensic data sensitivity

KW - investigator expertise

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Scheidt N, Akkuzu G, Adda M. Making decision on sharing forensic data with the fuzzy logic approach. In Proceedings of the 2020 IEEE 10th International Conference on Intelligent Systems (IS). Institute of Electrical and Electronics Engineers Inc. 2020. (Proceedings of the 2020 IEEE 10th International Conference on Intelligent Systems (IS)). doi: 10.1109/IS48319.2020.9200142

Making decision on sharing forensic data with the fuzzy logic approach

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