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_c387498 _d387498 |
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| 003 | ES-MaUEC | ||
| 005 | 20230418084039.0 | ||
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| 007 | cr nn 008mamaa | ||
| 008 | 230418s2017 sz | s |||| 0|eng d | ||
| 020 | _a9783031023514 | ||
| 024 | 7 |
_a10.1007/978-3-031-02351-4 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aHV8073 _b2017 EB |
|
| 100 | 1 |
_aRoussev, Vassil _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9688092 |
|
| 245 | 1 | 0 |
_aDigital Forensic Science : _bIssues, Methods, and Challenges _cby Vassil Roussev |
| 250 | _a1st edition 2017 | ||
| 264 | 1 |
_aCham _bSpringer International Publishing _c2017 |
|
| 300 | _a1 recurso en línea (XIII, 141 páginas) | ||
| 336 |
_atexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 347 |
_aarchivo de texto _bPDF |
||
| 490 | 0 |
_aSynthesis Lectures on Information Security Privacy and Trust _x1945-9750 |
|
| 505 | 0 | _aIntroduction -- Brief History -- Definitions and Models -- System Analysis -- Artifact Analysis -- Open Issues and Challenges -- Bibliography -- Author's Biography . | |
| 520 | _aDigital forensic science, or digital forensics, is the application of scientific tools and methods to identify, collect, and analyze digital (data) artifacts in support of legal proceedings. From a more technical perspective, it is the process of reconstructing the relevant sequence of events that have led to the currently observable state of a target IT system or (digital) artifacts. Over the last three decades, the importance of digital evidence has grown in lockstep with the fast societal adoption of information technology, which has resulted in the continuous accumulation of data at an exponential rate. Simultaneously, there has been a rapid growth in network connectivity and the complexity of IT systems, leading to more complex behavior that needs to be investigated. The goal of this book is to provide a systematic technical overview of digital forensic techniques, primarily from the point of view of computer science. This allows us to put the field in the broader perspective of a host of related areas and gain better insight into the computational challenges facing forensics, as well as draw inspiration for addressing them. This is needed as some of the challenges faced by digital forensics, such as cloud computing, require qualitatively different approaches; the sheer volume of data to be examined also requires new means of processing it. | ||
| 988 | _aSynthesis Collection of Technology_2017 | ||
| 650 | 7 |
_9671759 _aForenses |
|
| 650 | 7 |
_2embne _9141254 _aDelitos informáticos _xInvestigación |
|
| 776 | 0 | 8 |
_iPrinted edition: _z9783031012235 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031034794 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-02351-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 998 |
_b04/2023 _dz _eIG _zSI |
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