Big Data Analytics and Computing for Digital Forensic Investigations

Digital forensics meets big data

Big Data Analytics and Computing for Digital Forensic Investigations brings together two fields that increasingly overlap: forensic investigation and large-scale data analysis. Edited by Suneeta Satpathy and Sachi Nandan Mohanty, this CRC Press volume focuses on the practical problem of finding, correlating, and presenting digital evidence when the data involved is too large and too varied for traditional methods alone.

The book’s chapter lineup points to a broad, applied approach. Topics include digital forensics and digital investigation, big data challenges in healthcare-related forensic contexts, Hadoop internals and evidence, security and privacy in access controls, data science and big data analytics, phishing prevention, and cybersecurity. That makes the book especially relevant for readers who want to understand how forensic work changes in distributed, data-heavy environments.

Why this title stands out

Rather than treating digital forensics as a narrow technical specialty, this collection frames it as part of a wider ecosystem of analytics, infrastructure, and security practice. The result is a volume that is useful for seeing how investigation methods adapt when evidence arrives from multiple sources and at scale.

At a glance

• Edited collection on digital forensics and big data
• Focus on evidence handling, analytics, and cybercrime investigation
• Includes chapters on Hadoop, access control, phishing prevention, and cybersecurity
• First edition published by CRC Press in 2020

For readers building a broader understanding of digital investigation in data-intensive settings, this is a well-targeted and timely reference.