A Novel Framework for Gauging Information Extracted from Smartphones Using Fuzzy Logic

Document Type : Original Article

Authors

1 Dept. of Math and Computer Sci., Faculty of Science, Port Said Univ.,

2 Dept. of Communication and Computer Engineering, Air Defence Univ.,

3 Dept. of Information Systems., Faculty of Computer and Information Sci, Mansoura Univ

Abstract

It’s interesting to know that there are around 6.92 billion smartphone users all over the world, as stated by Statista website. Smartphones store a huge amount of data about their users, which can be useful for forensic investigators in case of any criminal activity. However, this information can also be manipulated by someone with malicious intent to provide false evidence to deceive forensic investigators. Our research has utilized fuzzy logic to evaluate the degree of truth or falsity of this information. Additionally, this study analyzes conversations between individuals using Excel’s fuzzy lookup add-in to determine the percentage of truth and false in each conversation. The results were compiled into a dataset and utilized a fuzzy model created by Matlab’s fuzzy toolbox to evaluate the information. The results indicate the percentage of truth and false in each conversation and which can be used to determine its admissibility as evidence and which not.

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Alfarama Journal of Basic & Applied Sciences
Volume 5, Issue 2
April 2024
Pages 230-242

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