Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659400262 ISBN 13: 9783659400261
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PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659400262 ISBN 13: 9783659400261
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In den WarenkorbPAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
Sprache: Englisch
Verlag: Lap Lambert Academic Publishing, 2013
ISBN 10: 3659400262 ISBN 13: 9783659400261
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In den WarenkorbPaperback. Zustand: Brand New. 52 pages. 8.66x5.91x0.12 inches. In Stock.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659400262 ISBN 13: 9783659400261
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. Data Exploration Interface for Digital Forensics | Varun Dontula | Taschenbuch | 52 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659400261 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing Jul 2013, 2013
ISBN 10: 3659400262 ISBN 13: 9783659400261
Anbieter: Books-by-Floh, Paderborn, Deutschland
Taschenbuch. Zustand: Neu. Neuware -The fast capacity growth of cheap storage devices presents an ever-growing problem of scale for digital forensic investigations. One aspect of scale problem in the forensic process is the need for new approaches to visually presenting and analyzing large amounts of data. Current generation of tools universally employ three basic GUI components-trees, tables, and viewers-to present all relevant information. This approach is not scalable as increasing the size of the input data leads to a proportional increase in the amount of data presented to the analyst. We present an alternative approach, which leverages data visualization techniques to provide a more intuitive interface to explore the forensic target. We use tree visualization techniques to give the analyst both a high-level view of the file system and an efficient means to drill down into the details. Further, we provide means to search for keywords and filter the data by time period. 52 pp. Englisch.