Making decision on sharing forensic data with the fuzzy logic approach

Nancy Scheidt, Gulsum Akkuzu, Mo Adda

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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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 languageEnglish
Title of host publicationProceedings of the 2020 IEEE 10th International Conference on Intelligent Systems (IS)
PublisherInstitute of Electrical and Electronics Engineers
Number of pages7
ISBN (Electronic)978-1-7281-5456-5
ISBN (Print)978-1-7281-5457-2
DOIs
Publication statusPublished - 18 Sep 2020
Event2020 IEEE 10th International Conference on Intelligent Systems - Varna, Bulgaria
Duration: 28 Aug 202030 Aug 2020

Publication series

NameProceedings of the 2020 IEEE 10th International Conference on Intelligent Systems (IS)
PublisherIEEE
ISSN (Print)1541-1672

Conference

Conference2020 IEEE 10th International Conference on Intelligent Systems
Country/TerritoryBulgaria
CityVarna
Period28/08/2030/08/20

Keywords

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

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