Vassil Roussev
University of New Orleans
SYNTHESIS LECTURES ON INFORMATION SECURITY, PRIVACY, & TRUST #19
ABSTRACT
Digital forensic science, or digital forensics, is the application of scientific tools and methods to identify, collect, and analyze digital (data) artifacts in support of legal proceedings. From a more technical perspective, it is the process of reconstructing the relevant sequence of events that have led to the currently observable state of a target IT system or (digital) artifacts.
Over the last three decades, the importance of digital evidence has grown in lockstep with the fast societal adoption of information technology, which has resulted in the continuous accumulation of data at an exponential rate. Simultaneously, there has been a rapid growth in network connectivity and the complexity of IT systems, leading to more complex behavior that needs to be investigated.
The goal of this book is to provide a systematic technical overview of digital forensic techniques, primarily from the point of view of computer science. This allows us to put the field in the broader perspective of a host of related areas and gain better insight into the computational challenges facing forensics, as well as draw inspiration for addressing them. This is needed as some of the challenges faced by digital forensics, such as cloud computing, require qualitatively different approaches; the sheer volume of data to be examined also requires new means of processing it.
KEYWORDS
digital forensics, cyber forensics, cyber crime, incident response, data recovery
To my parents, Reni and Rosen, for their love and for opening all of life’s opportunities.
To my wife, Laura, for her love and unconditional support.
To my advisor, Prasun, for his patience and the enduring wisdom of his lessons.
Contents
3.2 Digial Forensic Science Definitions
3.2.2 Working Technical Definition
3.3 Models of Forensic Analysis
4.1.3 Forensic Image Formats
4.1.4 Filesystem Analysis
4.1.5 Case Study: FAT32
4.1.6 Case Study: NTFS
4.1.7 Data Recovery and File Content Carving
4.1.8 File Fragment Classification
4.2 Main Memory Forensics
4.2.1 Memory Acquisition
4.2.2 Memory Image Analysis
4.3 Network Forensics
4.4 Real-time Processing and Triage
4.4.1 Real-time Computing
4.4.2 Forensic Computing with Deadlines
4.4.3 Triage
4.5 Application Forensics
4.5.1 Web Browser
4.5.2 Cloud Drives
4.6 Cloud Forensics
4.6.1 Cloud Basics
4.6.2 The Cloud Forensics Landscape
4.6.3 IaaS Forensics
4.6.4 SaaS Forensics
