Integrating Python with Leading Computer Forensics Platforms:
Integrating Python with Leading Computer Forensic Platforms takes a definitive look at how and why the integration of Python advances the field of digital forensics. In addition, the book includes practical, never seen Python examples that can be immediately put to use. Noted author Chet Hosmer demo...
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Cambridge, MA
Syngress is an imprint of Elsevier
2017
|
Ausgabe: | 1st ed |
Schlagworte: | |
Online-Zugang: | FAW01 Volltext |
Zusammenfassung: | Integrating Python with Leading Computer Forensic Platforms takes a definitive look at how and why the integration of Python advances the field of digital forensics. In addition, the book includes practical, never seen Python examples that can be immediately put to use. Noted author Chet Hosmer demonstrates how to extend four key Forensic Platforms using Python, including EnCase by Guidance Software, MPE+ by AccessData, The Open Source Autopsy/SleuthKit by Brian Carrier and WetStone Technologies, and Live Acquisition and Triage Tool US-LATT. This book is for practitioners, forensic investigators, educators, students, private investigators, or anyone advancing digital forensics for investigating cybercrime. Additionally, the open source availability of the examples allows for sharing and growth within the industry. This book is the first to provide details on how to directly integrate Python into key forensic platforms |
Beschreibung: | Includes bibliographical references at the end of each chapters and index |
Beschreibung: | 1 online resource (218) |
ISBN: | 012809950X 9780128099506 |
Internformat
MARC
LEADER | 00000nmm a2200000zc 4500 | ||
---|---|---|---|
001 | BV045382045 | ||
003 | DE-604 | ||
005 | 00000000000000.0 | ||
007 | cr|uuu---uuuuu | ||
008 | 181228s2017 |||| o||u| ||||||eng d | ||
020 | |a 012809950X |9 0-12-809950-X | ||
020 | |a 9780128099506 |9 978-0-12-809950-6 | ||
035 | |a (ZDB-33-ESD)ocn960041708 | ||
035 | |a (ZDB-33-EBS)ocn960041708 | ||
035 | |a (OCoLC)960041708 | ||
035 | |a (DE-599)BVBBV045382045 | ||
040 | |a DE-604 |b ger |e rda | ||
041 | 0 | |a eng | |
049 | |a DE-1046 | ||
082 | 0 | |a 363.25968 |2 23 | |
100 | 1 | |a Hosmer, Chet |e Verfasser |4 aut | |
245 | 1 | 0 | |a Integrating Python with Leading Computer Forensics Platforms |
250 | |a 1st ed | ||
264 | 1 | |a Cambridge, MA |b Syngress is an imprint of Elsevier |c 2017 | |
300 | |a 1 online resource (218) | ||
336 | |b txt |2 rdacontent | ||
337 | |b c |2 rdamedia | ||
338 | |b cr |2 rdacarrier | ||
500 | |a Includes bibliographical references at the end of each chapters and index | ||
520 | |a Integrating Python with Leading Computer Forensic Platforms takes a definitive look at how and why the integration of Python advances the field of digital forensics. In addition, the book includes practical, never seen Python examples that can be immediately put to use. Noted author Chet Hosmer demonstrates how to extend four key Forensic Platforms using Python, including EnCase by Guidance Software, MPE+ by AccessData, The Open Source Autopsy/SleuthKit by Brian Carrier and WetStone Technologies, and Live Acquisition and Triage Tool US-LATT. This book is for practitioners, forensic investigators, educators, students, private investigators, or anyone advancing digital forensics for investigating cybercrime. Additionally, the open source availability of the examples allows for sharing and growth within the industry. This book is the first to provide details on how to directly integrate Python into key forensic platforms | ||
650 | 7 | |a BUSINESS & ECONOMICS / Infrastructure |2 bisacsh | |
650 | 7 | |a SOCIAL SCIENCE / General |2 bisacsh | |
650 | 7 | |a Computer crimes / Investigation |2 fast | |
650 | 7 | |a Python (Computer program language) |2 fast | |
650 | 4 | |a Computer crimes |x Investigation | |
650 | 4 | |a Python (Computer program language) | |
776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 0128099496 |
776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9780128099490 |
856 | 4 | 0 | |u http://www.sciencedirect.com/science/book/9780128099490 |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
912 | |a ZDB-33-ESD |a ZDB-33-EBS | ||
999 | |a oai:aleph.bib-bvb.de:BVB01-030768378 | ||
966 | e | |u http://www.sciencedirect.com/science/book/9780128099490 |l FAW01 |p ZDB-33-ESD |q FAW_PDA_ESD |x Verlag |3 Volltext |
Datensatz im Suchindex
_version_ | 1804179233497415680 |
---|---|
any_adam_object | |
author | Hosmer, Chet |
author_facet | Hosmer, Chet |
author_role | aut |
author_sort | Hosmer, Chet |
author_variant | c h ch |
building | Verbundindex |
bvnumber | BV045382045 |
collection | ZDB-33-ESD ZDB-33-EBS |
ctrlnum | (ZDB-33-ESD)ocn960041708 (ZDB-33-EBS)ocn960041708 (OCoLC)960041708 (DE-599)BVBBV045382045 |
dewey-full | 363.25968 |
dewey-hundreds | 300 - Social sciences |
dewey-ones | 363 - Other social problems and services |
dewey-raw | 363.25968 |
dewey-search | 363.25968 |
dewey-sort | 3363.25968 |
dewey-tens | 360 - Social problems and services; associations |
discipline | Soziologie |
edition | 1st ed |
format | Electronic eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02700nmm a2200469zc 4500</leader><controlfield tag="001">BV045382045</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">181228s2017 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">012809950X</subfield><subfield code="9">0-12-809950-X</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780128099506</subfield><subfield code="9">978-0-12-809950-6</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-33-ESD)ocn960041708</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-33-EBS)ocn960041708</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)960041708</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV045382045</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-1046</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">363.25968</subfield><subfield code="2">23</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Hosmer, Chet</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Integrating Python with Leading Computer Forensics Platforms</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">1st ed</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Cambridge, MA</subfield><subfield code="b">Syngress is an imprint of Elsevier</subfield><subfield code="c">2017</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (218)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references at the end of each chapters and index</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Integrating Python with Leading Computer Forensic Platforms takes a definitive look at how and why the integration of Python advances the field of digital forensics. In addition, the book includes practical, never seen Python examples that can be immediately put to use. Noted author Chet Hosmer demonstrates how to extend four key Forensic Platforms using Python, including EnCase by Guidance Software, MPE+ by AccessData, The Open Source Autopsy/SleuthKit by Brian Carrier and WetStone Technologies, and Live Acquisition and Triage Tool US-LATT. This book is for practitioners, forensic investigators, educators, students, private investigators, or anyone advancing digital forensics for investigating cybercrime. Additionally, the open source availability of the examples allows for sharing and growth within the industry. This book is the first to provide details on how to directly integrate Python into key forensic platforms</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">BUSINESS & ECONOMICS / Infrastructure</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">SOCIAL SCIENCE / General</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Computer crimes / Investigation</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Python (Computer program language)</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computer crimes</subfield><subfield code="x">Investigation</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Python (Computer program language)</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">0128099496</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">9780128099490</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://www.sciencedirect.com/science/book/9780128099490</subfield><subfield code="x">Verlag</subfield><subfield code="z">URL des Erstveröffentlichers</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-33-ESD</subfield><subfield code="a">ZDB-33-EBS</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-030768378</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">http://www.sciencedirect.com/science/book/9780128099490</subfield><subfield code="l">FAW01</subfield><subfield code="p">ZDB-33-ESD</subfield><subfield code="q">FAW_PDA_ESD</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
id | DE-604.BV045382045 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T08:16:37Z |
institution | BVB |
isbn | 012809950X 9780128099506 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030768378 |
oclc_num | 960041708 |
open_access_boolean | |
owner | DE-1046 |
owner_facet | DE-1046 |
physical | 1 online resource (218) |
psigel | ZDB-33-ESD ZDB-33-EBS ZDB-33-ESD FAW_PDA_ESD |
publishDate | 2017 |
publishDateSearch | 2017 |
publishDateSort | 2017 |
publisher | Syngress is an imprint of Elsevier |
record_format | marc |
spelling | Hosmer, Chet Verfasser aut Integrating Python with Leading Computer Forensics Platforms 1st ed Cambridge, MA Syngress is an imprint of Elsevier 2017 1 online resource (218) txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references at the end of each chapters and index Integrating Python with Leading Computer Forensic Platforms takes a definitive look at how and why the integration of Python advances the field of digital forensics. In addition, the book includes practical, never seen Python examples that can be immediately put to use. Noted author Chet Hosmer demonstrates how to extend four key Forensic Platforms using Python, including EnCase by Guidance Software, MPE+ by AccessData, The Open Source Autopsy/SleuthKit by Brian Carrier and WetStone Technologies, and Live Acquisition and Triage Tool US-LATT. This book is for practitioners, forensic investigators, educators, students, private investigators, or anyone advancing digital forensics for investigating cybercrime. Additionally, the open source availability of the examples allows for sharing and growth within the industry. This book is the first to provide details on how to directly integrate Python into key forensic platforms BUSINESS & ECONOMICS / Infrastructure bisacsh SOCIAL SCIENCE / General bisacsh Computer crimes / Investigation fast Python (Computer program language) fast Computer crimes Investigation Python (Computer program language) Erscheint auch als Druck-Ausgabe 0128099496 Erscheint auch als Druck-Ausgabe 9780128099490 http://www.sciencedirect.com/science/book/9780128099490 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Hosmer, Chet Integrating Python with Leading Computer Forensics Platforms BUSINESS & ECONOMICS / Infrastructure bisacsh SOCIAL SCIENCE / General bisacsh Computer crimes / Investigation fast Python (Computer program language) fast Computer crimes Investigation Python (Computer program language) |
title | Integrating Python with Leading Computer Forensics Platforms |
title_auth | Integrating Python with Leading Computer Forensics Platforms |
title_exact_search | Integrating Python with Leading Computer Forensics Platforms |
title_full | Integrating Python with Leading Computer Forensics Platforms |
title_fullStr | Integrating Python with Leading Computer Forensics Platforms |
title_full_unstemmed | Integrating Python with Leading Computer Forensics Platforms |
title_short | Integrating Python with Leading Computer Forensics Platforms |
title_sort | integrating python with leading computer forensics platforms |
topic | BUSINESS & ECONOMICS / Infrastructure bisacsh SOCIAL SCIENCE / General bisacsh Computer crimes / Investigation fast Python (Computer program language) fast Computer crimes Investigation Python (Computer program language) |
topic_facet | BUSINESS & ECONOMICS / Infrastructure SOCIAL SCIENCE / General Computer crimes / Investigation Python (Computer program language) Computer crimes Investigation |
url | http://www.sciencedirect.com/science/book/9780128099490 |
work_keys_str_mv | AT hosmerchet integratingpythonwithleadingcomputerforensicsplatforms |