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Rating Of The Relationship Between Users Using The Data From The Implemented Mobile Forensic Software
- Source :
- Pamukkale University Journal of Engineering Sciences, Vol 26, Iss 2, Pp 359-370 (2020)
- Publication Year :
- 2020
- Publisher :
- LookUs Bilisim A.S., 2020.
-
Abstract
- During the digital forensic process, different software and hardware tools are used. The devices from which the digital evidences are collected have been varied in parallel with the developments in technology. The issue of identifying the mobile phone owner’s friends and assessing his relationship with them with the help of digital evidences collected from the Android mobile phones has been studied in the literature and it is still under investigation. The software developed in this work enables accessing a variety of data that have evidential value in the court proceedings; these include physical and logical acquisition of images from mobile phones with Android operating system, extracting images for investigations, examining different file types in images, and databases. This software can collect and examine the evidences and then produce reports. At the same time, it can identify criminals or people with potentially have connections to those people whose accounts are under investigations by using developed analysis model which examines the relationships between social media applications` data, phone contacts and calling histories collected from the mobile devices. In this work, the evidences examined by using a novel software developed by the authors which performs multiple tasks using a single interface and the corresponding results are presented.
- Subjects :
- Multimedia
business.industry
Computer science
forensic science
digital forensics
adli bilişim
computer.software_genre
mobil adli bilişim
Forensic science
Software
lcsh:TA1-2040
sayısal delil inceleme
digital evidence analysis
fuzzy model
lcsh:Engineering (General). Civil engineering (General)
business
mobile forensics
computer
bulanık model
adli bilimler
Subjects
Details
- ISSN :
- 13007009
- Volume :
- 26
- Database :
- OpenAIRE
- Journal :
- Pamukkale University Journal of Engineering Sciences
- Accession number :
- edsair.doi.dedup.....b21c94aa8ef6c71f170d96a655ffb2c9
- Full Text :
- https://doi.org/10.5505/pajes.2019.29599