TY - BOOK ID - 48089652 TI - Digital Forensic Education : An Experiential Learning Approach AU - Zhang, Xiaolu. AU - Choo, Kim-Kwang Raymond. PY - 2020 SN - 3030235467 3030235475 PB - Cham : Springer International Publishing : Imprint: Springer, DB - UniCat KW - Computer crimes KW - Investigation. KW - Engineering—Data processing. KW - Big data. KW - Computer crimes. KW - Engineering. KW - Artificial intelligence. KW - Data Engineering. KW - Big Data. KW - Cybercrime. KW - Computational Intelligence. KW - Artificial Intelligence. KW - AI (Artificial intelligence) KW - Artificial thinking KW - Electronic brains KW - Intellectronics KW - Intelligence, Artificial KW - Intelligent machines KW - Machine intelligence KW - Thinking, Artificial KW - Bionics KW - Cognitive science KW - Digital computer simulation KW - Electronic data processing KW - Logic machines KW - Machine theory KW - Self-organizing systems KW - Simulation methods KW - Fifth generation computers KW - Neural computers KW - Construction KW - Industrial arts KW - Technology KW - Computers and crime KW - Cyber crimes KW - Cybercrimes KW - Electronic crimes (Computer crimes) KW - Internet crimes KW - Crime KW - Privacy, Right of KW - Data sets, Large KW - Large data sets KW - Data sets KW - Computational intelligence. KW - Intelligence, Computational KW - Artificial intelligence KW - Soft computing UR - https://www.unicat.be/uniCat?func=search&query=sysid:48089652 AB - 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 been 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. ER -