Abstract | ||
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The recovery and analysis of digital information has become a major component of many criminal investigations today. Given the ever-increasing number of personal digital devices, such as notebooks, tablets, and smartphones, as well as the development of communication infrastructures, we all gather, store, and generate huge amounts of data. Some of this information may be precious evidence for investigation and may be used in courts. During the last several decades, increasing research efforts have therefore been dedicated toward defining tools and protocols for the analysis of evidence coming from digital sources. This book attempts to link research in these two communities by providing a wide-ranging and up-to-date reference for both researchers and practitioners. The digital forensics ecosystem is surveyed with the necessary breadth in the first half of the book, by exploring all phases of the forensics workflow and detailing several tools of interest. Gaining insight into these aspects is of paramount importance for practitioners, but also for academic researchers who are often not aware of the standard practices and processes required to preserve digital evidence, e.g., for legal purposes. Similarly, practitioners have the opportunity to discover the state of the art in forensics research in the second half of the book, which is written from a signal processing perspective. This balanced mix is a major asset of this book, making it suitable for readers of diverse background. |
Year | DOI | Venue |
---|---|---|
2016 | 10.1109/MSP.2015.2488018 | Signal Processing Magazine, IEEE |
Field | DocType | Volume |
World Wide Web,Digital forensics,Computer science,Digital evidence,Criminal investigation,Multimedia,Workflow | Journal | 33 |
Issue | ISSN | Citations |
1 | 1053-5888 | 2 |
PageRank | References | Authors |
0.46 | 0 | 1 |
Name | Order | Citations | PageRank |
---|---|---|---|
Luisa Verdoliva | 1 | 971 | 57.12 |