Digital Forensic Education: An Experiential Learning Approach (Studies in Big Data Book 61) 1st ed. 2020 Edition [NulledPremium]

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Book details
File Size: 18 MB
Format: pdf
Print Length: 307 pages
Publisher: Springer; 1st ed. 2020 edition (July 24, 2019)
Publication Date: July 24, 2019
Sold by: Amazon.com Services LLC
Language: English
ASIN: B07VMRPDNK

Benefits:



Presents an experiential learning approach to digital forensic education
Provides an introduction to incident response and digital forensics
Written by experts in the field
Description

In this book, the editors explain how students enrolled in two digital forensic courses at their institution are exposed to experiential learning opportunities, where the students acquire the knowledge and skills of the subject-matter while also learning how to adapt to the ever-changing digital forensic landscape. Their findings (e.g., forensic examination of different IoT devices) are also presented in the book. Digital forensics is a topic of increasing importance as our society becomes “smarter” with more of the “things” around us being internet- and inter-connected (e.g., Internet of Things (IoT) and smart home devices); thus, the increasing likelihood that we will need to acquire data from these things in a forensically sound manner. This book is of interest to both digital forensic educators and digital forensic practitioners, as well as students seeking to learn about digital forensics.

Table of contents (15 chapters)



Experiential Learning in Digital Forensics
DFRWS IoT Forensic Challenge Report 1
DFRWS IoT Forensic Challenge Report 2
DFRWS IoT Forensic Challenge Report 3
DFRWS IoT Forensic Challenge Report 4
DFRWS IoT Forensic Challenge Report 5
Alexa/Google Home Forensics
Digital Forensics of Raspberry Pi Used for MITM
Forensic Analysis on Kindle and Android
Mobile Forensics
SSD Forensics: Evidence Generation and Analysis
Web Browser Forensics in Google Chrome, Mozilla Firefox, and the Tor Browser Bundle
Forensic Analysis of Microblogging Sites Using Pinterest and Tumblr as Case Study
Social Media Data in Digital Forensics Investigations
The Way Forward