Buch, Englisch, 96 Seiten, Format (B × H): 154 mm x 238 mm, Gewicht: 1825 g
Reihe: SpringerBriefs on Cyber Security Systems and Networks
Volume 1: Data Reduction Framework and Selective Imaging
Buch, Englisch, 96 Seiten, Format (B × H): 154 mm x 238 mm, Gewicht: 1825 g
Reihe: SpringerBriefs on Cyber Security Systems and Networks
ISBN: 978-981-10-7762-3
Verlag: Springer Nature Singapore
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein Rechtliche Aspekte der EDV
- Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit
- Rechtswissenschaften Strafrecht Rechtsmedizin, Forensik
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizinische Fachgebiete Forensik, Rechtsmedizin, Gerichtsmedizin
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Geistes- und Sozialwissenschaften
Weitere Infos & Material
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.