This textbook provides an introduction to digital forensics, a rapidly evolving field for solving crimes. Beginning with the basic concepts of computer forensics, each of the book's 21 chapters focuses on a particular forensic topic composed of two parts: background knowledge and hands-on experience through practice exercises. Each theoretical or background section concludes with a series of review questions, which are prepared to test students' understanding of the materials, while the practice exercises are intended to afford students the opportunity to apply the concepts introduced in the section on background knowledge.
This experience-oriented textbook is meant to assist students in gaining a better understanding of digital forensics through hands-on practice in collecting and preserving digital evidence by completing various exercises. With 20 student-directed, inquiry-based practice exercises, students will better understand digital forensic concepts and learn digital forensic investigation techniques.
This textbook is intended for upper undergraduate and graduate-level students who are taking digital-forensic related courses or working in digital forensics research. It can also be used by digital forensics practitioners, IT security analysts, and security engineers working in the IT security industry, particular IT professionals responsible for digital investigation and incident handling or researchers working in these related fields as a reference book.
Edition
Language
Place of publication
Publishing group
Springer International Publishing
Target group
Primary & secondary/elementary & high school
Illustrations
347 farbige Abbildungen, 112 s/w Abbildungen
XXIII, 577 p. 459 illus., 347 illus. in color.
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 38 mm
Weight
ISBN-13
978-3-030-00580-1 (9783030005801)
DOI
10.1007/978-3-030-00581-8
Schweitzer Classification
Xiaodong Lin received the PhD degree in Information Engineering from Beijing University of Posts and Telecommunications, China, and the PhD degree (with Outstanding Achievement in Graduate Studies Award) in Electrical and Computer Engineering from the University of Waterloo, Canada. He is currently working as an Associate Professor in the School of Computer Science at the University of Guelph, Canada. His research interests include wireless communications and network security, computer forensics, software security, and applied cryptography. With the increasing advance of wireless technology and the worldwide wireless network deployment, wireless networks have been on an upswing to enable ubiquitous Internet access. Making these wireless networks secure has become a major priority to keep our cyber world safe. In the past years, his research has focused on securing vehicular ad-hoc networks (VANETs), which is an emerging wireless network paradigm. He is elevated to IEEE Fellow for his contributions in secure and privacy-preserving vehicular communications. Also, He has been researching digital forensics extensively. For example, his work on automated forensic analysis of Android applications appears at DFRWS USA 2018, a top research conference in the field of digital forensics.
Dr. Lin serves as an Associate Editor for many international journals. He has served or is serving as a guest editor for many special issues of IEEE, Elsevier and Springer journals and as a symposium chair or track chair for IEEE/ACM conferences. He also served on many program committees. He was Chair of Communications and Information Security Technical Committee (CISTC) (2016-2017), IEEE Communications Society (ComSoc). He is a Fellow of the IEEE. He is also a CISSP (Certified Information Systems Security Professional).
1 Introduction to Computer Forensics.- 2 Introduction to Computer Organization.- 3 Building a Forensics Workstation.- 4 Volume Analysis.- 5 Examining FAT File System.- 6 Deleted File Recovery in FAT.- 7 Examining NTFS File System.- 8 Deleted File Recovery in NTFS.- 9 File Carving.- 10 File Signature Searching Forensics.- 11 Keyword Forensics.- 12 Timeline Analysis.- 13 Data Hiding and Detection.- 14 Log Analysis.- 15 Android Forensics.- 16 GPS Forensics.- 17 SIM Cards Forensics.- 18 Introductory Malware Analysis.- 19 Ransomware Analysis.- 20 Image Forgery Detection.- 21 Steganography and Steganalysis.
