Making Decision on Sharing Forensic Data with the Fuzzy Logic Approach


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Scheidt N., Akkuzu G. , Adda M.

10th IEEE International Conference on Intelligent Systems, IS 2020, Sofija, Bulgaria, 28 - 30 August 2020, pp.44-50 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • Doi Number: 10.1109/is48319.2020.9200142
  • City: Sofija
  • Country: Bulgaria
  • Page Numbers: pp.44-50

Abstract

© 2020 IEEE.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 expertise as well as a new way of decision-making in forensic data sharing utilising the fuzzy logic decision making system.