Titlebook: Digital Forensics and Cyber Crime; 4th International Co Marcus Rogers,Kathryn C. Seigfried-Spellar Conference proceedings 2013 ICST Institu

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Research Trends in Digital Forensic Science: An Empirical Analysis of Published Researchrch. Additionally, results exemplified a lack of quantitative research in the discipline, with only 20% of the research papers using quantitative methods, and 80% using qualitative methods. Furthermore, results showed that the largest portion of the research (42.9%) from the examined sample originat

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Similarity Preserving Hashing: Eligible Properties and a New Algorithm MRSH-v2 First, it fulfills all our proposed defining properties, second, it outperforms existing approaches especially with respect to run time performance and third it has two detections modes. The regular mode of . is used to identify similar files whereas the f-mode is optimal for fragment detection, i.

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On the Completeness of Reconstructed Data for Database Forensics presents two different techniques that can be used in reconstructing more tuples in a relation and provide corroborating evidence to claims about the data on a database. A typical example is used to describe the limitation of the database reconstruction algorithm and how the limitation can be overc

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CSR, Sustainability, Ethics & Governanceinvestigations, and forensic implications of all cloud deployment models. The analysis serves as feedback and input for integrating forensic considerations into cloud standardization processes from early stage, and specifies requirements and directions for further standardization efforts.

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Tejaswini Eregowda,Sanjeeb Mohapatrar presents an overview and critique of the state of the art in the field. An independent comparative study is presented using an unprecedented experimental design and data set, as well as proposals for improvements and future work.

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Investigating File Encrypted Material Using NTFS $logfile characterising the file-encryption process as a series of file I/O operations and correlating those operations with the corresponding events in the NTFS $logfile file. The occurrence of these events has been modelled and generalised to investigate file-encryption. This resulted in the automated analysis of $logfile in .software.