Big Digital Forensic Data

Volume 1: Data Reduction Framework and Selective Imaging

Darren Quick, Kim-Kwang Raymond Choo (Autoren)

Buch | Softcover

96 Seiten

2018 | 1st ed. 2018
Springer Verlag, Singapore
978-981-10-7762-3 (ISBN)

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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 data reduction, and evidence and intelligence extraction methods. Further, it includes the experimental results 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.

Dr. Darren Quick is a Senior Intelligence Technologist with the Australian Department of Home Affairs and a former Digital Forensic Investigator with the Australian Border Force, and previously an Electronic Evidence Specialist with the South Australia Police. He has undertaken over 650 digital forensic investigations involving many thousands of digital evidence items. In 2012 Darren was awarded membership of the Golden Key International Honour Society, in 2014 he received a Highly Commended award from the Australian National Institute of Forensic Science, and in 2015 received the Publication of the Year award from the Australian Institute of Professional Intelligence Officers. Dr. Kim-Kwang Raymond Choo holds the Cloud Technology Endowed Professorship at The University of Texas at San Antonio, is an adjunct associate professor at the University of South Australia, a fellow of the Australian Computer Society, and a senior member of IEEE. He and his team wonthe Digital Forensics Research Challenge 2015 organized by Germany's University of Erlangen-Nuremberg, and he is the recipient of various awards including the ESORICS 2015 Best Paper Award, the 2014 Highly Commended Award from the Australia New Zealand Policing Advisory Agency, Fulbright Scholarship in 2009, the 2008 Australia Day Achievement Medallion, and the British Computer Society's Wilkes Award in 2008.

Chapter 1 Introduction.- Chapter 2 Background and Literature Review.- Chapter 3 Data Reduction and Data Mining Framework.- Chapter 4 Digital Forensic Data Reduction by Selective Imaging.- Chapter 5 Summary of the Framework and DRbSI.

Erscheinungsdatum	18.05.2018
Reihe/Serie	SpringerBriefs on Cyber Security Systems and Networks
Zusatzinfo	5 Illustrations, color; 1 Illustrations, black and white; XV, 96 p. 6 illus., 5 illus. in color.
Verlagsort	Singapore
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Mathematik / Informatik ► Informatik ► Datenbanken
	Informatik ► Netzwerke ► Sicherheit / Firewall
	Recht / Steuern ► Privatrecht / Bürgerliches Recht ► IT-Recht
	Recht / Steuern ► Strafrecht ► Kriminologie
	Sozialwissenschaften
Schlagworte	Big digital forensic data • Big forensic data • cyber forensics • Cyber threat evidence • Cyber threat hunting • Cyber threat intelligence • digital forensics
ISBN-10	981-10-7762-2 / 9811077622
ISBN-13	978-981-10-7762-3 / 9789811077623
Zustand	Neuware