LiveLessons – Digital Forensics and Cyber Crime with Kali Linux Fundamentals

LiveLessons – Digital Forensics and Cyber Crime with Kali Linux Fundamentals
English | Size: 13.04 GB
Category: CBTs

Why is digital forensics so important? In today’s digital world, every organization is bound to be attacked and likely breached by a cyber adversary. Forensics can be used to determine if and how a breach occurred and also how to properly respond.

Digital Forensics and Cyber Crime with Kali Linux Fundamentals LiveLessons introduces you to the world of digital forensics and acts as a primer for your future forensic work. This is a fundamentals course with a focus on the average network engineer, so you don’t need to be an IT expert to follow most of the concepts. Learn when a breach occurs, what actions you can take, and how to learn from the breach to prevent future attacks. This video course focuses on using open source technology available in the Kali Linux framework along with other tools to simplify forensic tasks. You will master the basics of digital forensics, learn best practices, and explore legal and forensic service concepts.

Coverage includes:
Lesson 1: Introduction to Digital Forensics
Lesson 2: Digital Forensic Investigations
Lesson 3: Getting Started with a Forensic Linux Workstation
Lesson 4: Data Duplication and Data Protection
Lesson 5: Collecting and Preserving Evidence
Lesson 6: Cracking Passwords
Lesson 7: Windows Forensics
Lesson 8: Network Forensics
Lesson 9: Email Forensics
Lesson 10: Reverse Malware Engineering
Lesson 11: Forensic Case Studies

Learn How To
• Plan, organize, build, and deploy end-to-end IoT solutions
• Navigate today’s IoT product marketplace
• Use maturing IoT technologies to solve many business and technical problems
• Make sense of the full IoT protocol stack, from 802.15.4 and LPWA to IPv6 adaptations and
• Architect IoT networks for maximum security and integrity
• Generate meaningful intelligence from the data your smart objects capture
• Compare and use batch-level and real-time streaming analytics
• Improve IoT system efficiency through fog and edge computing
• Leverage key IoT applications for utilities, transportation, manufacturing, smart cities, public
safety, oil/gas production, and mining

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