Big Digital Forensic Data Volume 2: Quick Analysis for Evidence and Intelligence /

• Main Authors: Quick, Darren (Author, http://id.loc.gov/vocabulary/relators/aut), Choo, Kim-Kwang Raymond (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Singapore : Springer Singapore : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: SpringerBriefs on Cyber Security Systems and Networks,
• Subjects: Computer security.; Application software.; Forensic science.; Computers.; Law and legislation.; Systems and Data Security.; Information Systems Applications (incl. Internet).; Forensic Science.; Legal Aspects of Computing.; Computer Appl. in Social and Behavioral Sciences.
• Physical Description: XIII, 86 p. 11 illus. in color. online resource.
• ISBN: 9789811302633
• ISSN: 2522-5561
• DOI: 10.1007/978-981-13-0263-3

This book provides an in-depth understanding of big data challenges to digital forensic investigations, also known as big digital forensic data. It also develops the basis of using data mining in big forensic data analysis, including data reduction, knowledge management, intelligence, and data mining principles to achieve faster analysis in digital forensic investigations. By collecting and assembling a corpus of test data from a range of devices in the real world, it outlines a process of big digital forensic data analysis for evidence and intelligence. It includes the results of experiments on vast volumes of real digital forensic data. The book is a valuable resource for digital forensic practitioners, researchers in big data, cyber threat hunting and intelligence, data mining and other related areas.