Book Image

Big Data Forensics: Learning Hadoop Investigations

By : Joe Sremack
Book Image

Big Data Forensics: Learning Hadoop Investigations

By: Joe Sremack

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

Physical versus remote collections


Hadoop data collection can either be performed directly on the Hadoop cluster or via remote access. Physical collections are any form of data acquisition in which the investigator is physically interacting with the cluster, typically by pulling the cluster's hard drives and imaging them. Alternatively, collections can also be performed remotely. In such cases, the investigator accesses the cluster through a network connection and acquires the data through a terminal over the network connection.

Hadoop can be run in many different designs and configurations. The Hadoop cluster can be run on physical devices with Hadoop being installed on the host operating system. Hadoop clusters can also be set up using a series of virtual machines. With the increased use of cloud computing, Hadoop also can be run as a Platform as a Service (PaaS) with the actual servers running Hadoop being masked by the abstraction of the cloud service. Additionally, Hadoop can be designed...