A Novel Framework for Gauging Information Extracted from Smartphones Using Neutrosophic Logic
Smartphones contain a vast amount of information about their users, which can be used as evidence in criminal cases. However, the sheer volume of data can make it challenging for forensic investigators to identify and use the most relevant information. Neutrosophic logic is a generalization of fuzzy...
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| Format: | Article |
| Language: | English |
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University of New Mexico
2025-02-01
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| Series: | Neutrosophic Sets and Systems |
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| Online Access: | https://fs.unm.edu/NSS/GaugingInformation9.pdf |
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| author | R. M. Abou Alzahab Amr Ismail S. H. Abd Elkhalik M. Y. Shams H. M. El-Bakry A. A. Salama |
| author_facet | R. M. Abou Alzahab Amr Ismail S. H. Abd Elkhalik M. Y. Shams H. M. El-Bakry A. A. Salama |
| author_sort | R. M. Abou Alzahab |
| collection | DOAJ |
| description | Smartphones contain a vast amount of information about their users, which can be used as evidence in criminal cases. However, the sheer volume of data can make it challenging for forensic investigators to identify and use the most relevant information. Neutrosophic logic is a generalization of fuzzy logic that allows for uncertainty and vagueness, making it a more potent tool for dealing with the ambiguity of real-world data. The proposed framework aims to identify and utilize the most relevant information for forensic investigators, making it easier to solve criminal cases using Neutrosophic logic. This novel approach provides a more powerful tool for dealing with the ambiguity of smartphone data, ultimately improving the accuracy and effectiveness of forensic investigations. Our research has utilized Neutrosophic logic to evaluate the degree of truth, falsity, or Indeterminacy 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 Neutrosophic Python code to evaluate the information. The results indicate the percentage of truth, false, and Indeterminacy in each conversation and which can be used to determine its admissibility as evidence and which not. |
| format | Article |
| id | doaj-art-8df36720ced94ce9821c9ac538d92cb3 |
| institution | Kabale University |
| issn | 2331-6055 2331-608X |
| language | English |
| publishDate | 2025-02-01 |
| publisher | University of New Mexico |
| record_format | Article |
| series | Neutrosophic Sets and Systems |
| spelling | doaj-art-8df36720ced94ce9821c9ac538d92cb32025-08-20T04:03:25ZengUniversity of New MexicoNeutrosophic Sets and Systems2331-60552331-608X2025-02-017615417110.5281/zenodo.13988374A Novel Framework for Gauging Information Extracted from Smartphones Using Neutrosophic LogicR. M. Abou AlzahabAmr IsmailS. H. Abd ElkhalikM. Y. ShamsH. M. El-BakryA. A. SalamaSmartphones contain a vast amount of information about their users, which can be used as evidence in criminal cases. However, the sheer volume of data can make it challenging for forensic investigators to identify and use the most relevant information. Neutrosophic logic is a generalization of fuzzy logic that allows for uncertainty and vagueness, making it a more potent tool for dealing with the ambiguity of real-world data. The proposed framework aims to identify and utilize the most relevant information for forensic investigators, making it easier to solve criminal cases using Neutrosophic logic. This novel approach provides a more powerful tool for dealing with the ambiguity of smartphone data, ultimately improving the accuracy and effectiveness of forensic investigations. Our research has utilized Neutrosophic logic to evaluate the degree of truth, falsity, or Indeterminacy 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 Neutrosophic Python code to evaluate the information. The results indicate the percentage of truth, false, and Indeterminacy in each conversation and which can be used to determine its admissibility as evidence and which not.https://fs.unm.edu/NSS/GaugingInformation9.pdfsmartphoneforensicsneutrosophic logicfuzzy logicuncertaintyinvestigations |
| spellingShingle | R. M. Abou Alzahab Amr Ismail S. H. Abd Elkhalik M. Y. Shams H. M. El-Bakry A. A. Salama A Novel Framework for Gauging Information Extracted from Smartphones Using Neutrosophic Logic Neutrosophic Sets and Systems smartphone forensics neutrosophic logic fuzzy logic uncertainty investigations |
| title | A Novel Framework for Gauging Information Extracted from Smartphones Using Neutrosophic Logic |
| title_full | A Novel Framework for Gauging Information Extracted from Smartphones Using Neutrosophic Logic |
| title_fullStr | A Novel Framework for Gauging Information Extracted from Smartphones Using Neutrosophic Logic |
| title_full_unstemmed | A Novel Framework for Gauging Information Extracted from Smartphones Using Neutrosophic Logic |
| title_short | A Novel Framework for Gauging Information Extracted from Smartphones Using Neutrosophic Logic |
| title_sort | novel framework for gauging information extracted from smartphones using neutrosophic logic |
| topic | smartphone forensics neutrosophic logic fuzzy logic uncertainty investigations |
| url | https://fs.unm.edu/NSS/GaugingInformation9.pdf |
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