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Mobile Device and Social Media Forensic Analysis

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dc.contributor.author Saha, Debanjana
dc.contributor.author Karmakar, Sajal
dc.contributor.author Nur, Fernaz Narin
dc.contributor.author Mariam, Asma
dc.contributor.author Moon, Nazmun Nessa
dc.contributor.author Ahmed, Akash
dc.date.accessioned 2022-03-28T06:47:22Z
dc.date.available 2022-03-28T06:47:22Z
dc.date.issued 2021-08-23
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/7622
dc.description.abstract This research work has focused on a digital forensic analysis of social media through mobile devices to determine the primary criminal. This proposed system considered the mobile device used by the prime suspect as the main evidence of cybercrime and tried to find out the degree of criminal involvement in terms of probability likelihood. At first, the most critical data elements were obtained, e.g., deleted files and keywords, through the forensic analysis of the mobile device. This will also help in the identification of the main culprits in the investigation of cybercrime. Next, the system classified the criminals in one of three zones based on the analysis of the keywords to determine the level of crime. The system also takes into account the most probable timeframe for the crime. Thus, the proposed system helps to identify the main culprits in investigating cybercrime more efficiently than the traditional approaches. The system is also looking into the most probable timeframe for the crime, for example, it has been observed that most cybercrime happens on the weekends. The proposed system investigates using cookies and the logical image of the device that cyber criminals left behind. en_US
dc.language.iso en_US en_US
dc.publisher 2021 1st International Conference on Emerging Smart Technologies and Applications (eSmarTA), IEEE en_US
dc.subject Cybercrime en_US
dc.subject Forensic analysis en_US
dc.subject Logical image en_US
dc.subject Mobile device en_US
dc.subject Timestamps en_US
dc.title Mobile Device and Social Media Forensic Analysis en_US
dc.title.alternative Impacts on Cyber-crime en_US
dc.type Article en_US


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