Introduction to Digital Evidence Investigation is a course that provides the basics of finding, collecting and analyzing digital evidence in criminal cases and investigations. This course helps students understand the importance of digital evidence in identifying violations and collecting the best evidence possible.
The Introduction to Digital Evidence Investigation will provide students with the necessary skills to be able to read and analyze digital data, including data from mobile devices and computers. Students will be taught how to search and collect data, use specialized tools and software to analyze it, and create digital evidence to support investigations.
The Digital Evidence Investigations Introductory course is ideal for students interested in the legal and cybersecurity fields, and who want to learn about using technology to detect and investigate crimes. This course is taught by leading experts in the field of cybersecurity, ensuring that students are equipped with the skills and knowledge needed to succeed in their roles.
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Prevention of Investigation of Digital Evidence
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Installing Kali Linux For Digital Forensic Conduct
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Using the fdisk Command In Forensic Numbers
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Using MD5SUM and SHA1SUM in Digital Forensics
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Using DC3DD On Kali Linux For Digital Evidence Investigation
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Performing File-Splitting With DC3DD And Confirming Split-Image
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Erase Data With DC3DD On Kali Linux
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Collecting Digital Evidence With GuyMager
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Using FOREMOST To Carve Data
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Using SCAPEL And PHOTOREC To CARVE DATA
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Extracting Digital Evidence Data With BULK_EXTRACTOR
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Using VOLATILITY In Memory Analysis
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VOLATILITY On KALI LINUX
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Using Image Info VOLATILITY To Determine Memory Information
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Using PSTREE and PSLIST On VOLATILITY To Check For Malicious Processes
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Using PSSCAN and PSXVIEW On VOLATILITY For Progress Analysis
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Using CONNECTION & CONSCAN & SOCKET On VOLATILITY To Check Network Connection
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Analyze Malicious DLLs With VOLATILITY FRAMEWORK
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Using VOLATILITY To Analyze REGISTRY, DUMP HASH, MALFIND
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