Making Decision on Sharing Forensic Data with the Fuzzy Logic Approach

Creative Commons License

Scheidt N., Akkuzu G., Adda M.

10th IEEE International Conference on Intelligent Systems, IS 2020, Sofija, Bulgaristan, 28 - 30 Ağustos 2020, ss.44-50, (Tam Metin Bildiri) identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası:
  • Doi Numarası: 10.1109/is48319.2020.9200142
  • Basıldığı Şehir: Sofija
  • Basıldığı Ülke: Bulgaristan
  • Sayfa Sayıları: ss.44-50
  • Recep Tayyip Erdoğan Üniversitesi Adresli: Evet

Özet

© 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.