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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.

Computer crimes --- Big data. --- Investigation. --- Computer science. --- Forensic science. --- Computer security. --- Application software. --- Computers. --- Law and legislation. --- Computer Science. --- Systems and Data Security. --- Information Systems Applications (incl. Internet). --- Forensic Science. --- Legal Aspects of Computing. --- Computer Appl. in Social and Behavioral Sciences. --- Data sets, Large --- Large data sets --- Computer forensics --- Cyber forensics --- Cyberforensics --- Internet forensics --- Criminal investigation --- Data sets --- Forensic medicine. --- Computers --- Social sciences --- Data processing. --- Forensic medicine --- Injuries (Law) --- Jurisprudence, Medical --- Legal medicine --- Forensic sciences --- Medicine --- Medical laws and legislation --- Computer privacy --- Computer system security --- Computer systems --- Cyber security --- Cybersecurity --- Electronic digital computers --- Protection of computer systems --- Security of computer systems --- Data protection --- Security systems --- Hacking --- Cyberspace --- Protection --- Security measures --- Law and legislation --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Cybernetics --- Machine theory --- Calculators --- Criminalistics --- Forensic science --- Science --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software

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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 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.

Social sciences (general) --- Demography --- Legal medicine --- Computer architecture. Operating systems --- Information systems --- Computer. Automation --- gerechtelijk onderzoek --- analytische chemie --- big data --- biochemie --- informatica --- sociale wetenschappen --- informatiesystemen --- gerechtelijke geneeskunde --- computerbeveiliging --- computercriminaliteit

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To reduce the risk of digital forensic evidence being called into question in judicial proceedings, it is important to have a rigorous methodology and set of procedures for conducting digital forensic investigations and examinations. Digital forensic investigation in the cloud computing environment, however, is in infancy due to the comparatively recent prevalence of cloud computing. Cloud Storage Forensics presents the first evidence-based cloud forensic framework. Using three popular cloud storage services and one private cloud storage service as case studies, the authors sh

Computer crimes --- Forensic sciences --- Cloud computing. --- Information storage and retrieval systems. --- Investigation. --- Data processing. --- Automatic data storage --- Automatic information retrieval --- Automation in documentation --- Computer-based information systems --- Data processing systems --- Data storage and retrieval systems --- Discovery systems, Information --- Information discovery systems --- Information processing systems --- Information retrieval systems --- Machine data storage and retrieval --- Mechanized information storage and retrieval systems --- Computer systems --- Electronic information resources --- Data libraries --- Digital libraries --- Information organization --- Information retrieval --- Electronic data processing --- Web services --- Criminalistics --- Forensic science --- Science --- Criminal investigation --- Computer forensics --- Cyber forensics --- Cyberforensics --- Internet forensics --- Distributed processing --- Data centers