Python digital forensics cookbook :: effective Python recipes for digital investigations /
Over 60 recipes to help you learn digital forensics and leverage Python scripts to amplify your examinations About This Book Develop code that extracts vital information from everyday forensic acquisitions. Increase the quality and efficiency of your forensic analysis. Leverage the latest resources...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham, UK :
Packt Publishing,
2017.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | Over 60 recipes to help you learn digital forensics and leverage Python scripts to amplify your examinations About This Book Develop code that extracts vital information from everyday forensic acquisitions. Increase the quality and efficiency of your forensic analysis. Leverage the latest resources and capabilities available to the forensic community. Who This Book Is For If you are a digital forensics examiner, cyber security specialist, or analyst at heart, understand the basics of Python, and want to take it to the next level, this is the book for you. Along the way, you will be introduced to a number of libraries suitable for parsing forensic artifacts. Readers will be able to use and build upon the scripts we develop to elevate their analysis. What You Will Learn Understand how Python can enhance digital forensics and investigations Learn to access the contents of, and process, forensic evidence containers Explore malware through automated static analysis Extract and review message contents from a variety of email formats Add depth and context to discovered IP addresses and domains through various Application Program Interfaces (APIs) Delve into mobile forensics and recover deleted messages from SQLite databases Index large logs into a platform to better query and visualize datasets In Detail Technology plays an increasingly large role in our daily lives and shows no sign of stopping. Now, more than ever, it is paramount that an investigator develops programming expertise to deal with increasingly large datasets. By leveraging the Python recipes explored throughout this book, we make the complex simple, quickly extracting relevant information from large datasets. You will explore, develop, and deploy Python code and libraries to provide meaningful results that can be immediately applied to your investigations. Throughout the Python Digital Forensics Cookbook, recipes include topics such as working with forensic evidence containers, parsing mobile and desktop operating system artifacts, extracting embedded metadata from documents and executables, and identifying indicators of compromise. You will also learn to integrate scripts with Application Program Interfaces (APIs) such as VirusTotal and PassiveTotal, and tools such as Axiom, Cellebrite, and EnCase. By the end of the book, you will have a sound understanding of Python and how you can use it to process artifacts in your investigations. Style and approach Our succinct recipes take a no- ... |
| Beschreibung: | 1 online resource (1 volume) : illustrations |
| ISBN: | 9781783987474 1783987472 |
Internformat
MARC
| LEADER | 00000cam a2200000 i 4500 | ||
|---|---|---|---|
| 001 | ZDB-4-EBA-on1007536293 | ||
| 003 | OCoLC | ||
| 005 | 20241004212047.0 | ||
| 006 | m o d | ||
| 007 | cr unu|||||||| | ||
| 008 | 171025s2017 enka o 000 0 eng d | ||
| 040 | |a UMI |b eng |e rda |e pn |c UMI |d IDEBK |d STF |d OCLCF |d N$T |d COO |d UOK |d CEF |d KSU |d UKMGB |d WYU |d C6I |d UAB |d UKAHL |d K6U |d QGK |d ESU |d OCLCQ |d OCLCO |d OCLCQ |d INARC |d OCLCQ |d OCLCO | ||
| 015 | |a GBB7K5553 |2 bnb | ||
| 016 | 7 | |a 018554424 |2 Uk | |
| 020 | |a 9781783987474 |q (electronic bk.) | ||
| 020 | |a 1783987472 |q (electronic bk.) | ||
| 020 | |z 9781783987467 | ||
| 035 | |a (OCoLC)1007536293 | ||
| 037 | |a CL0500000905 |b Safari Books Online | ||
| 050 | 4 | |a HV8079.C65 | |
| 072 | 7 | |a SOC |x 004000 |2 bisacsh | |
| 082 | 7 | |a 364.1/68/02855133 |2 23 | |
| 049 | |a MAIN | ||
| 100 | 1 | |a Miller, Preston, |e author. | |
| 245 | 1 | 0 | |a Python digital forensics cookbook : |b effective Python recipes for digital investigations / |c Preston Miller, Chapin Bryce. |
| 264 | 1 | |a Birmingham, UK : |b Packt Publishing, |c 2017. | |
| 300 | |a 1 online resource (1 volume) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 588 | 0 | |a Online resource; title from title page (Safari, viewed October 24, 2017). | |
| 520 | |a Over 60 recipes to help you learn digital forensics and leverage Python scripts to amplify your examinations About This Book Develop code that extracts vital information from everyday forensic acquisitions. Increase the quality and efficiency of your forensic analysis. Leverage the latest resources and capabilities available to the forensic community. Who This Book Is For If you are a digital forensics examiner, cyber security specialist, or analyst at heart, understand the basics of Python, and want to take it to the next level, this is the book for you. Along the way, you will be introduced to a number of libraries suitable for parsing forensic artifacts. Readers will be able to use and build upon the scripts we develop to elevate their analysis. What You Will Learn Understand how Python can enhance digital forensics and investigations Learn to access the contents of, and process, forensic evidence containers Explore malware through automated static analysis Extract and review message contents from a variety of email formats Add depth and context to discovered IP addresses and domains through various Application Program Interfaces (APIs) Delve into mobile forensics and recover deleted messages from SQLite databases Index large logs into a platform to better query and visualize datasets In Detail Technology plays an increasingly large role in our daily lives and shows no sign of stopping. Now, more than ever, it is paramount that an investigator develops programming expertise to deal with increasingly large datasets. By leveraging the Python recipes explored throughout this book, we make the complex simple, quickly extracting relevant information from large datasets. You will explore, develop, and deploy Python code and libraries to provide meaningful results that can be immediately applied to your investigations. Throughout the Python Digital Forensics Cookbook, recipes include topics such as working with forensic evidence containers, parsing mobile and desktop operating system artifacts, extracting embedded metadata from documents and executables, and identifying indicators of compromise. You will also learn to integrate scripts with Application Program Interfaces (APIs) such as VirusTotal and PassiveTotal, and tools such as Axiom, Cellebrite, and EnCase. By the end of the book, you will have a sound understanding of Python and how you can use it to process artifacts in your investigations. Style and approach Our succinct recipes take a no- ... | ||
| 505 | 0 | |a Python digital forensics cookbook : effective Python recipes for digital investigations -- Credits -- About the Authors -- About the Reviewer -- www.PacktPub.com -- Customer Feedback -- Table of Contents -- Preface -- 1: Essential Scripting and File Information Recipes -- 2: Creating Artifact Report Recipes -- 3: A Deep Dive into Mobile Forensic Recipes -- 4: Extracting Embedded Metadata Recipes -- 5: Networking and Indicators of Compromise Recipes -- 6: Reading Emails and Taking Names Recipes -- 7: Log-Based Artifact Recipes -- 8: Working with Forensic Evidence Container Recipes -- 9: Exploring Windows Forensic Artifacts Recipes -- Part I -- 10: Exploring Windows Forensic Artifacts Recipes -- Part II -- Index. | |
| 650 | 0 | |a Computer crimes |x Investigation. |0 http://id.loc.gov/authorities/subjects/sh85029493 | |
| 650 | 0 | |a Forensic sciences |x Data processing. | |
| 650 | 0 | |a Python (Computer program language) |0 http://id.loc.gov/authorities/subjects/sh96008834 | |
| 650 | 6 | |a Criminalité informatique |x Enquêtes. | |
| 650 | 6 | |a Criminalistique |x Informatique. | |
| 650 | 6 | |a Python (Langage de programmation) | |
| 650 | 7 | |a SOCIAL SCIENCE |x Criminology. |2 bisacsh | |
| 650 | 7 | |a Computer crimes |x Investigation |2 fast | |
| 650 | 7 | |a Forensic sciences |x Data processing |2 fast | |
| 650 | 7 | |a Python (Computer program language) |2 fast | |
| 700 | 1 | |a Bryce, Chapin, |e author. | |
| 776 | 0 | 8 | |i Print version: |a Miller, Preston. |t Python digital forensics cookbook : effective Python recipes for digital investigations. |d Birmingham, England ; Mumbai, India : Packt Publishing, 2017 |z 9781783987467 |
| 856 | 4 | 0 | |l FWS01 |p ZDB-4-EBA |q FWS_PDA_EBA |u https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1607082 |3 Volltext |
| 938 | |a Internet Archive |b INAR |n pythondigitalfor0000mill | ||
| 938 | |a Askews and Holts Library Services |b ASKH |n AH33464363 | ||
| 938 | |a EBSCOhost |b EBSC |n 1607082 | ||
| 938 | |a ProQuest MyiLibrary Digital eBook Collection |b IDEB |n cis39017865 | ||
| 994 | |a 92 |b GEBAY | ||
| 912 | |a ZDB-4-EBA | ||
| 049 | |a DE-863 | ||
Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-4-EBA-on1007536293 |
|---|---|
| _version_ | 1816882404024909824 |
| adam_text | |
| any_adam_object | |
| author | Miller, Preston Bryce, Chapin |
| author_facet | Miller, Preston Bryce, Chapin |
| author_role | aut aut |
| author_sort | Miller, Preston |
| author_variant | p m pm c b cb |
| building | Verbundindex |
| bvnumber | localFWS |
| callnumber-first | H - Social Science |
| callnumber-label | HV8079 |
| callnumber-raw | HV8079.C65 |
| callnumber-search | HV8079.C65 |
| callnumber-sort | HV 48079 C65 |
| callnumber-subject | HV - Social Pathology, Criminology |
| collection | ZDB-4-EBA |
| contents | Python digital forensics cookbook : effective Python recipes for digital investigations -- Credits -- About the Authors -- About the Reviewer -- www.PacktPub.com -- Customer Feedback -- Table of Contents -- Preface -- 1: Essential Scripting and File Information Recipes -- 2: Creating Artifact Report Recipes -- 3: A Deep Dive into Mobile Forensic Recipes -- 4: Extracting Embedded Metadata Recipes -- 5: Networking and Indicators of Compromise Recipes -- 6: Reading Emails and Taking Names Recipes -- 7: Log-Based Artifact Recipes -- 8: Working with Forensic Evidence Container Recipes -- 9: Exploring Windows Forensic Artifacts Recipes -- Part I -- 10: Exploring Windows Forensic Artifacts Recipes -- Part II -- Index. |
| ctrlnum | (OCoLC)1007536293 |
| dewey-full | 364.1/68/02855133 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 364 - Criminology |
| dewey-raw | 364.1/68/02855133 |
| dewey-search | 364.1/68/02855133 |
| dewey-sort | 3364.1 268 72855133 |
| dewey-tens | 360 - Social problems and services; associations |
| discipline | Rechtswissenschaft |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>05791cam a2200577 i 4500</leader><controlfield tag="001">ZDB-4-EBA-on1007536293</controlfield><controlfield tag="003">OCoLC</controlfield><controlfield tag="005">20241004212047.0</controlfield><controlfield tag="006">m o d </controlfield><controlfield tag="007">cr unu||||||||</controlfield><controlfield tag="008">171025s2017 enka o 000 0 eng d</controlfield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">UMI</subfield><subfield code="b">eng</subfield><subfield code="e">rda</subfield><subfield code="e">pn</subfield><subfield code="c">UMI</subfield><subfield code="d">IDEBK</subfield><subfield code="d">STF</subfield><subfield code="d">OCLCF</subfield><subfield code="d">N$T</subfield><subfield code="d">COO</subfield><subfield code="d">UOK</subfield><subfield code="d">CEF</subfield><subfield code="d">KSU</subfield><subfield code="d">UKMGB</subfield><subfield code="d">WYU</subfield><subfield code="d">C6I</subfield><subfield code="d">UAB</subfield><subfield code="d">UKAHL</subfield><subfield code="d">K6U</subfield><subfield code="d">QGK</subfield><subfield code="d">ESU</subfield><subfield code="d">OCLCQ</subfield><subfield code="d">OCLCO</subfield><subfield code="d">OCLCQ</subfield><subfield code="d">INARC</subfield><subfield code="d">OCLCQ</subfield><subfield code="d">OCLCO</subfield></datafield><datafield tag="015" ind1=" " ind2=" "><subfield code="a">GBB7K5553</subfield><subfield code="2">bnb</subfield></datafield><datafield tag="016" ind1="7" ind2=" "><subfield code="a">018554424</subfield><subfield code="2">Uk</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781783987474</subfield><subfield code="q">(electronic bk.)</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1783987472</subfield><subfield code="q">(electronic bk.)</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="z">9781783987467</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1007536293</subfield></datafield><datafield tag="037" ind1=" " ind2=" "><subfield code="a">CL0500000905</subfield><subfield code="b">Safari Books Online</subfield></datafield><datafield tag="050" ind1=" " ind2="4"><subfield code="a">HV8079.C65</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">SOC</subfield><subfield code="x">004000</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="082" ind1="7" ind2=" "><subfield code="a">364.1/68/02855133</subfield><subfield code="2">23</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">MAIN</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Miller, Preston,</subfield><subfield code="e">author.</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Python digital forensics cookbook :</subfield><subfield code="b">effective Python recipes for digital investigations /</subfield><subfield code="c">Preston Miller, Chapin Bryce.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Birmingham, UK :</subfield><subfield code="b">Packt Publishing,</subfield><subfield code="c">2017.</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (1 volume) :</subfield><subfield code="b">illustrations</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="588" ind1="0" ind2=" "><subfield code="a">Online resource; title from title page (Safari, viewed October 24, 2017).</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Over 60 recipes to help you learn digital forensics and leverage Python scripts to amplify your examinations About This Book Develop code that extracts vital information from everyday forensic acquisitions. Increase the quality and efficiency of your forensic analysis. Leverage the latest resources and capabilities available to the forensic community. Who This Book Is For If you are a digital forensics examiner, cyber security specialist, or analyst at heart, understand the basics of Python, and want to take it to the next level, this is the book for you. Along the way, you will be introduced to a number of libraries suitable for parsing forensic artifacts. Readers will be able to use and build upon the scripts we develop to elevate their analysis. What You Will Learn Understand how Python can enhance digital forensics and investigations Learn to access the contents of, and process, forensic evidence containers Explore malware through automated static analysis Extract and review message contents from a variety of email formats Add depth and context to discovered IP addresses and domains through various Application Program Interfaces (APIs) Delve into mobile forensics and recover deleted messages from SQLite databases Index large logs into a platform to better query and visualize datasets In Detail Technology plays an increasingly large role in our daily lives and shows no sign of stopping. Now, more than ever, it is paramount that an investigator develops programming expertise to deal with increasingly large datasets. By leveraging the Python recipes explored throughout this book, we make the complex simple, quickly extracting relevant information from large datasets. You will explore, develop, and deploy Python code and libraries to provide meaningful results that can be immediately applied to your investigations. Throughout the Python Digital Forensics Cookbook, recipes include topics such as working with forensic evidence containers, parsing mobile and desktop operating system artifacts, extracting embedded metadata from documents and executables, and identifying indicators of compromise. You will also learn to integrate scripts with Application Program Interfaces (APIs) such as VirusTotal and PassiveTotal, and tools such as Axiom, Cellebrite, and EnCase. By the end of the book, you will have a sound understanding of Python and how you can use it to process artifacts in your investigations. Style and approach Our succinct recipes take a no- ...</subfield></datafield><datafield tag="505" ind1="0" ind2=" "><subfield code="a">Python digital forensics cookbook : effective Python recipes for digital investigations -- Credits -- About the Authors -- About the Reviewer -- www.PacktPub.com -- Customer Feedback -- Table of Contents -- Preface -- 1: Essential Scripting and File Information Recipes -- 2: Creating Artifact Report Recipes -- 3: A Deep Dive into Mobile Forensic Recipes -- 4: Extracting Embedded Metadata Recipes -- 5: Networking and Indicators of Compromise Recipes -- 6: Reading Emails and Taking Names Recipes -- 7: Log-Based Artifact Recipes -- 8: Working with Forensic Evidence Container Recipes -- 9: Exploring Windows Forensic Artifacts Recipes -- Part I -- 10: Exploring Windows Forensic Artifacts Recipes -- Part II -- Index.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Computer crimes</subfield><subfield code="x">Investigation.</subfield><subfield code="0">http://id.loc.gov/authorities/subjects/sh85029493</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Forensic sciences</subfield><subfield code="x">Data processing.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Python (Computer program language)</subfield><subfield code="0">http://id.loc.gov/authorities/subjects/sh96008834</subfield></datafield><datafield tag="650" ind1=" " ind2="6"><subfield code="a">Criminalité informatique</subfield><subfield code="x">Enquêtes.</subfield></datafield><datafield tag="650" ind1=" " ind2="6"><subfield code="a">Criminalistique</subfield><subfield code="x">Informatique.</subfield></datafield><datafield tag="650" ind1=" " ind2="6"><subfield code="a">Python (Langage de programmation)</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">SOCIAL SCIENCE</subfield><subfield code="x">Criminology.</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Computer crimes</subfield><subfield code="x">Investigation</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Forensic sciences</subfield><subfield code="x">Data processing</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="700" ind1="1" ind2=" "><subfield code="a">Bryce, Chapin,</subfield><subfield code="e">author.</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Print version:</subfield><subfield code="a">Miller, Preston.</subfield><subfield code="t">Python digital forensics cookbook : effective Python recipes for digital investigations.</subfield><subfield code="d">Birmingham, England ; Mumbai, India : Packt Publishing, 2017</subfield><subfield code="z">9781783987467</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="l">FWS01</subfield><subfield code="p">ZDB-4-EBA</subfield><subfield code="q">FWS_PDA_EBA</subfield><subfield code="u">https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1607082</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="938" ind1=" " ind2=" "><subfield code="a">Internet Archive</subfield><subfield code="b">INAR</subfield><subfield code="n">pythondigitalfor0000mill</subfield></datafield><datafield tag="938" ind1=" " ind2=" "><subfield code="a">Askews and Holts Library Services</subfield><subfield code="b">ASKH</subfield><subfield code="n">AH33464363</subfield></datafield><datafield tag="938" ind1=" " ind2=" "><subfield code="a">EBSCOhost</subfield><subfield code="b">EBSC</subfield><subfield code="n">1607082</subfield></datafield><datafield tag="938" ind1=" " ind2=" "><subfield code="a">ProQuest MyiLibrary Digital eBook Collection</subfield><subfield code="b">IDEB</subfield><subfield code="n">cis39017865</subfield></datafield><datafield tag="994" ind1=" " ind2=" "><subfield code="a">92</subfield><subfield code="b">GEBAY</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-4-EBA</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-863</subfield></datafield></record></collection> |
| id | ZDB-4-EBA-on1007536293 |
| illustrated | Illustrated |
| indexdate | 2024-11-27T13:28:04Z |
| institution | BVB |
| isbn | 9781783987474 1783987472 |
| language | English |
| oclc_num | 1007536293 |
| open_access_boolean | |
| owner | MAIN DE-863 DE-BY-FWS |
| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource (1 volume) : illustrations |
| psigel | ZDB-4-EBA |
| publishDate | 2017 |
| publishDateSearch | 2017 |
| publishDateSort | 2017 |
| publisher | Packt Publishing, |
| record_format | marc |
| spelling | Miller, Preston, author. Python digital forensics cookbook : effective Python recipes for digital investigations / Preston Miller, Chapin Bryce. Birmingham, UK : Packt Publishing, 2017. 1 online resource (1 volume) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Online resource; title from title page (Safari, viewed October 24, 2017). Over 60 recipes to help you learn digital forensics and leverage Python scripts to amplify your examinations About This Book Develop code that extracts vital information from everyday forensic acquisitions. Increase the quality and efficiency of your forensic analysis. Leverage the latest resources and capabilities available to the forensic community. Who This Book Is For If you are a digital forensics examiner, cyber security specialist, or analyst at heart, understand the basics of Python, and want to take it to the next level, this is the book for you. Along the way, you will be introduced to a number of libraries suitable for parsing forensic artifacts. Readers will be able to use and build upon the scripts we develop to elevate their analysis. What You Will Learn Understand how Python can enhance digital forensics and investigations Learn to access the contents of, and process, forensic evidence containers Explore malware through automated static analysis Extract and review message contents from a variety of email formats Add depth and context to discovered IP addresses and domains through various Application Program Interfaces (APIs) Delve into mobile forensics and recover deleted messages from SQLite databases Index large logs into a platform to better query and visualize datasets In Detail Technology plays an increasingly large role in our daily lives and shows no sign of stopping. Now, more than ever, it is paramount that an investigator develops programming expertise to deal with increasingly large datasets. By leveraging the Python recipes explored throughout this book, we make the complex simple, quickly extracting relevant information from large datasets. You will explore, develop, and deploy Python code and libraries to provide meaningful results that can be immediately applied to your investigations. Throughout the Python Digital Forensics Cookbook, recipes include topics such as working with forensic evidence containers, parsing mobile and desktop operating system artifacts, extracting embedded metadata from documents and executables, and identifying indicators of compromise. You will also learn to integrate scripts with Application Program Interfaces (APIs) such as VirusTotal and PassiveTotal, and tools such as Axiom, Cellebrite, and EnCase. By the end of the book, you will have a sound understanding of Python and how you can use it to process artifacts in your investigations. Style and approach Our succinct recipes take a no- ... Python digital forensics cookbook : effective Python recipes for digital investigations -- Credits -- About the Authors -- About the Reviewer -- www.PacktPub.com -- Customer Feedback -- Table of Contents -- Preface -- 1: Essential Scripting and File Information Recipes -- 2: Creating Artifact Report Recipes -- 3: A Deep Dive into Mobile Forensic Recipes -- 4: Extracting Embedded Metadata Recipes -- 5: Networking and Indicators of Compromise Recipes -- 6: Reading Emails and Taking Names Recipes -- 7: Log-Based Artifact Recipes -- 8: Working with Forensic Evidence Container Recipes -- 9: Exploring Windows Forensic Artifacts Recipes -- Part I -- 10: Exploring Windows Forensic Artifacts Recipes -- Part II -- Index. Computer crimes Investigation. http://id.loc.gov/authorities/subjects/sh85029493 Forensic sciences Data processing. Python (Computer program language) http://id.loc.gov/authorities/subjects/sh96008834 Criminalité informatique Enquêtes. Criminalistique Informatique. Python (Langage de programmation) SOCIAL SCIENCE Criminology. bisacsh Computer crimes Investigation fast Forensic sciences Data processing fast Python (Computer program language) fast Bryce, Chapin, author. Print version: Miller, Preston. Python digital forensics cookbook : effective Python recipes for digital investigations. Birmingham, England ; Mumbai, India : Packt Publishing, 2017 9781783987467 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1607082 Volltext |
| spellingShingle | Miller, Preston Bryce, Chapin Python digital forensics cookbook : effective Python recipes for digital investigations / Python digital forensics cookbook : effective Python recipes for digital investigations -- Credits -- About the Authors -- About the Reviewer -- www.PacktPub.com -- Customer Feedback -- Table of Contents -- Preface -- 1: Essential Scripting and File Information Recipes -- 2: Creating Artifact Report Recipes -- 3: A Deep Dive into Mobile Forensic Recipes -- 4: Extracting Embedded Metadata Recipes -- 5: Networking and Indicators of Compromise Recipes -- 6: Reading Emails and Taking Names Recipes -- 7: Log-Based Artifact Recipes -- 8: Working with Forensic Evidence Container Recipes -- 9: Exploring Windows Forensic Artifacts Recipes -- Part I -- 10: Exploring Windows Forensic Artifacts Recipes -- Part II -- Index. Computer crimes Investigation. http://id.loc.gov/authorities/subjects/sh85029493 Forensic sciences Data processing. Python (Computer program language) http://id.loc.gov/authorities/subjects/sh96008834 Criminalité informatique Enquêtes. Criminalistique Informatique. Python (Langage de programmation) SOCIAL SCIENCE Criminology. bisacsh Computer crimes Investigation fast Forensic sciences Data processing fast Python (Computer program language) fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85029493 http://id.loc.gov/authorities/subjects/sh96008834 |
| title | Python digital forensics cookbook : effective Python recipes for digital investigations / |
| title_auth | Python digital forensics cookbook : effective Python recipes for digital investigations / |
| title_exact_search | Python digital forensics cookbook : effective Python recipes for digital investigations / |
| title_full | Python digital forensics cookbook : effective Python recipes for digital investigations / Preston Miller, Chapin Bryce. |
| title_fullStr | Python digital forensics cookbook : effective Python recipes for digital investigations / Preston Miller, Chapin Bryce. |
| title_full_unstemmed | Python digital forensics cookbook : effective Python recipes for digital investigations / Preston Miller, Chapin Bryce. |
| title_short | Python digital forensics cookbook : |
| title_sort | python digital forensics cookbook effective python recipes for digital investigations |
| title_sub | effective Python recipes for digital investigations / |
| topic | Computer crimes Investigation. http://id.loc.gov/authorities/subjects/sh85029493 Forensic sciences Data processing. Python (Computer program language) http://id.loc.gov/authorities/subjects/sh96008834 Criminalité informatique Enquêtes. Criminalistique Informatique. Python (Langage de programmation) SOCIAL SCIENCE Criminology. bisacsh Computer crimes Investigation fast Forensic sciences Data processing fast Python (Computer program language) fast |
| topic_facet | Computer crimes Investigation. Forensic sciences Data processing. Python (Computer program language) Criminalité informatique Enquêtes. Criminalistique Informatique. Python (Langage de programmation) SOCIAL SCIENCE Criminology. Computer crimes Investigation Forensic sciences Data processing |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1607082 |
| work_keys_str_mv | AT millerpreston pythondigitalforensicscookbookeffectivepythonrecipesfordigitalinvestigations AT brycechapin pythondigitalforensicscookbookeffectivepythonrecipesfordigitalinvestigations |