TY - BOOK ID - 32940308 TI - Big Digital Forensic Data : Volume 1: Data Reduction Framework and Selective Imaging AU - Quick, Darren. AU - Choo, Kim-Kwang Raymond. PY - 2018 SN - 9811077630 9811077622 PB - Singapore : Springer Singapore : Imprint: Springer, DB - UniCat KW - Computer crimes KW - Big data. KW - Investigation. KW - Computer science. KW - Forensic science. KW - Computer security. KW - Application software. KW - Computers. KW - Law and legislation. KW - Computer Science. KW - Systems and Data Security. KW - Information Systems Applications (incl. Internet). KW - Forensic Science. KW - Legal Aspects of Computing. KW - Computer Appl. in Social and Behavioral Sciences. KW - Data sets, Large KW - Large data sets KW - Computer forensics KW - Cyber forensics KW - Cyberforensics KW - Internet forensics KW - Criminal investigation KW - Data sets KW - Forensic medicine. KW - Computers KW - Social sciences KW - Data processing. KW - Forensic medicine KW - Injuries (Law) KW - Jurisprudence, Medical KW - Legal medicine KW - Forensic sciences KW - Medicine KW - Medical laws and legislation KW - Computer privacy KW - Computer system security KW - Computer systems KW - Cyber security KW - Cybersecurity KW - Electronic digital computers KW - Protection of computer systems KW - Security of computer systems KW - Data protection KW - Security systems KW - Hacking KW - Cyberspace KW - Protection KW - Security measures KW - Law and legislation KW - Automatic computers KW - Automatic data processors KW - Computer hardware KW - Computing machines (Computers) KW - Electronic brains KW - Electronic calculating-machines KW - Electronic computers KW - Hardware, Computer KW - Cybernetics KW - Machine theory KW - Calculators KW - Criminalistics KW - Forensic science KW - Science KW - Application computer programs KW - Application computer software KW - Applications software KW - Apps (Computer software) KW - Computer software UR - https://www.unicat.be/uniCat?func=search&query=sysid:32940308 AB - 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. ER -