Book Image

Big Data Forensics: Learning Hadoop Investigations

Book Image

Big Data Forensics: Learning Hadoop Investigations

Overview of this book

Big Data forensics is an important type of digital investigation that involves the identification, collection, and analysis of large-scale Big Data systems. Hadoop is one of the most popular Big Data solutions, and forensically investigating a Hadoop cluster requires specialized tools and techniques. With the explosion of Big Data, forensic investigators need to be prepared to analyze the petabytes of data stored in Hadoop clusters. Understanding Hadoop’s operational structure and performing forensic analysis with court-accepted tools and best practices will help you conduct a successful investigation. Discover how to perform a complete forensic investigation of large-scale Hadoop clusters using the same tools and techniques employed by forensic experts. This book begins by taking you through the process of forensic investigation and the pitfalls to avoid. It will walk you through Hadoop's internals and architecture, and you will discover what types of information Hadoop stores and how to access that data. You will learn to identify Big Data evidence using techniques to survey a live system and interview witnesses. After setting up your own Hadoop system, you will collect evidence using techniques such as forensic imaging and application-based extractions. You will analyze Hadoop evidence using advanced tools and techniques to uncover events and statistical information. Finally, data visualization and evidence presentation techniques are covered to help you properly communicate your findings to any audience.
Table of Contents (10 chapters)
9
Index

Analysis preparation


Several steps are taken at the onset of the analysis phase to prepare the forensic environment for the analysis. The first step is to attach a copy of the evidence to the environment in a read-only manner. Because the amount of forensic data is large in a Big Data investigation, the hard drives containing the evidence should be attached to a sufficiently large storage device in the read-only mode. The Big Data analysis environment should be attached to a network-attached storage (NAS), or other large-scale storage solution. Cloud environments are becoming increasingly common in forensic investigations, but the investigator must ensure that proper security measures are in place and that such storage is acceptable for the investigation.

Note

Cloud computing has several advantages for Big Data investigations. These include distributed computing and less of an infrastructure burden being placed on the investigator. However, data upload speeds to many cloud computing environments...