@inproceedings{1fe201495b4c48dc90f998d8fa1d86dc,
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 expertise as well as a new way of decision-making in forensic data sharing utilising the fuzzy logic decision making system.",
keywords = "forensic data sensitivity, forensic investigation, forensic report, fuzzy logic, investigator expertise, IoT server",
author = "Nancy Scheidt and Gulsum Akkuzu and Mo Adda",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 10th IEEE International Conference on Intelligent Systems, IS 2020 ; Conference date: 28-08-2020 Through 30-08-2020",
year = "2020",
month = aug,
doi = "10.1109/IS48319.2020.9200142",
language = "English",
series = "2020 IEEE 10th International Conference on Intelligent Systems, IS 2020 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "44--50",
editor = "Vassil Sgurev and Vladimir Jotsov and Rudolf Kruse and Mincho Hadjiski",
booktitle = "2020 IEEE 10th International Conference on Intelligent Systems, IS 2020 - Proceedings",
address = "United States",
}