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A semantic-based methodology for digital forensics analysis
یک روش مبتنی بر معنایی برای تجزیه و تحلیل پزشکی قانونی دیجیتال-2020 Nowadays, more than ever, digital forensics activities are involved in any criminal, civil or military
investigation and represent a fundamental tool to support cyber-security. Investigators use a variety
of techniques and proprietary software forensics applications to examine the copy of digital
devices, searching hidden, deleted, encrypted, or damaged files or folders. Any evidence found is
carefully analysed and documented in a ‘‘finding report’’ in preparation for legal proceedings that
involve discovery, depositions, or actual litigation. The aim is to discover and analyse patterns of
fraudulent activities. In this work, a new methodology is proposed to support investigators during the
analysis process, correlating evidence found through different forensics tools. The methodology was
implemented through a system able to add semantic assertion to data generated by forensics tools
during extraction processes. These assertions enable more effective access to relevant information and
enhanced retrieval and reasoning capabilities. Keywords: Digital forensics | Text analysis | Log analysis | Correlation | Cybersecurity |
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