MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
In this course, you will learn the principles and techniques for digital forensics investigation and the spectrum of available computer forensics tools. You will learn about core forensics procedures to ensure court admissibility of evidence, as well as the legal and ethical implications. You will learn how to perform a forensic investigation on both Unix/Linux and Windows systems with different file systems. You will also be guided through forensic procedures and review and analyze forensics reports.
This offering is part of the RITx Cybersecurity MicroMasters Program that prepares students to enter and advance in the field of computing security.
What you'll learn
- Court admissibility investigative procedures
- Attributes of various Windows and Unix/Linux file systems and file recovery processes
- To identify and apply appropriate forensics tools to acquire, preserve and analyze system image
- Review and critique a forensics report
Syllabus
Week 1: Digital Forensics Fundamentals
Introduction to Incident response digital forensics four-step procedure
Concepts: computer/network/Internet forensic and anti-forensics
Week 2: Unix/Linux fundamentals
Unix/Linux incident response tools
Unix/Linux file systems (Ext2/Ext3)
Week 3: Unix/Linux Forensic Investigation
Unix/Linux forensics investigation steps and technologies
Unix/Linux forensics case studies
Week 4: Windows Incident Response
Memory forensics
Windows incident response tools
Week 5: Windows fundamentals
Windows file systems
Windows forensics tools
Week 6: Windows Forensic Investigation
Windows acquisition
Windows forensics analysis – registry and other artifacts
Week 7: Advanced artifacts
Loadable kernel module rootkits
Steganography hiding, detection and analysis
Week 8: Review and Everything Together
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.