Learning Python for Forensics: Leverage the power of Python in forensic investigations, 2nd Edition


Learning Python for Forensics: Leverage the power of Python in forensic investigations, 2nd Edition
By 作者: Preston Miller – Chapin Bryce
ISBN-10 书号: 1789341698
ISBN-13 书号: 9781789341690
Release Finelybook 出版日期: 2019-01-31
pages 页数: (476 )

$44.99


Book Description to Finelybook sorting

Digital forensics plays an integral role in solving complex cybercrimes and helping organizations make sense of cybersecurity incidents. This second edition of Learning Python for Forensics illustrates how Python can be used to support these digital investigations and permits the examiner to automate the parsing of forensic artifacts to spend more time examining actionable data.

The second edition of Learning Python for Forensics will illustrate how to develop Python scripts using an iterative design. Further, it demonstrates how to leverage the various built-in and community-sourced forensics scripts and libraries available for Python today. This book will help strengthen your analysis skills and efficiency as you creatively solve real-world problems through instruction-based tutorials.

By the end of this book, you will build a collection of Python scripts capable of investigating an array of forensic artifacts and master the skills of extracting metadata and parsing complex data structures into actionable reports. Most importantly, you will have developed a foundation upon which to build as you continue to learn Python and enhance your efficacy as an investigator.

Contents
1: NOW FOR SOMETHING COMPLETELY DIFFERENT
2: PYTHON FUNDAMENTALS
3: PARSING TEXT FILES
4: WORKING WITH SERIALIZED DATA STRUCTURES
5: DATABASES IN PYTHON
6: EXTRACTING ARTIFACTS FROM BINARY FILES
7: FUZZY HASHING
8: THE MEDIA AGE
9: UNCOVERING TIME
10: RAPIDLY TRIAGING SYSTEMS
11: PARSING OUTLOOK PST CONTAINERS
12: RECOVERING TRANSIENT DATABASE RECORDS
13: COMING FULL CIRCLE
What You Will Learn
Learn how to develop Python scripts to solve complex forensic problems
Build scripts using an iterative design
Design code to accommodate present and future hurdles
Leverage built-in and community-sourced libraries
Understand the best practices in forensic programming
Learn how to transform raw data into customized reports and visualizations
Create forensic frameworks to automate analysis of multiple forensic artifacts
Conduct effective and efficient investigations through programmatic processing
Authors
Preston Miller
Preston Miller is a consultant at an internationally recognized risk management firm. Preston holds an undergraduate degree from Vassar College and a master’s degree in digital forensics from Marshall University. While at Marshall, Preston unanimously received the prestigious J. Edgar Hoover Foundation’s scientific scholarship. Preston is a published author, recently of Python Digital Forensics Cookbook, which won the Forensic 4:cast Digital Forensics Book of the Year award in 2018. Preston is a member of the GIAC advisory board and holds multiple industry-recognized certifications in his field.

Chapin Bryce
Chapin Bryce is a senior consultant at a global firm that is a leader in digital forensics and incident response investigations. After graduating from Champlain College, with a bachelor’s degree in computer and digital forensics, Chapin dove into the field of digital forensics and incident response joining the GIAC advisory board and earning four GIAC certifications: GCIH, GCFE, GCFA, and GNFA. As a member of multiple ongoing research and development projects, he has authored several books and articles in professional and academic publications, including Python Digital Forensics Cookbook (2018 Digital Forensics Book of the Year, Forensic 4Cast), Learning Python for Forensics First Edition, and Digital Forensic Magazine.

下载地址
仅供注册用户可见,下载价格0.1积分,请先

ZIP压缩文内包含(PDF+EPUB+AZW3+MOBI+Code)其一
捐助送帐号积分点击了解一下
赞(0) 赞赏
未经允许不得转载:finelybook » Learning Python for Forensics: Leverage the power of Python in forensic investigations, 2nd Edition
分享到: 更多 (0)

评论 抢沙发

  • 昵称 (必填)
  • 邮箱 (必填)
  • 网址

觉得文章有用就赞赏一下文章作者

支付宝扫一扫打赏

微信扫一扫打赏