The Art of Memory Forensics: Detecting Malware and Threats in Windows, Linux, and Mac Memory
Hale Ligh, Michael, Case, Andrew
Used - Soft cover
Condition: Used - Very good
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Add to basketCondition: Used - Very good
Quantity: 1 available
Add to basketGut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.
Seller Inventory # M01118825098-V
Memory forensics is the art of analyzing computer memory (RAM) to solve digital crimes. As a follow-up to the best seller Malware Analyst's Cookbook, experts in the fields of malware, security, and digital forensics bring you a step-by-step guide to memory forensics―now the most sought after skill in the digital forensics and incident response fields.
Beginning with introductory concepts and moving toward the advanced, The Art of Memory Forensics: Detecting Malware and Threats in Windows, Linux, and Mac Memory is based on a five day training course that the authors have presented to hundreds of students. It is the only book on the market that focuses exclusively on memory forensics and how to deploy such techniques properly. Discover memory forensics techniques:
The next era of malware and security breaches are more sophisticated and targeted, and the volatile memory of a computer is often overlooked or destroyed as part of the incident response process. The Art of Memory Forensics explains the latest technological innovations in digital forensics to help bridge this gap. It covers the most popular and recently released versions of Windows, Linux, and Mac, including both the 32 and 64-bit editions.
Andrew Case is a Digital Forensics Researcher specializing in memory, disk, and network forensics.
Jamie Levy is a Senior Researcher and Developer, targeting memory, network, and malware forensics analysis.
AAron Walters is founder and lead developer of the Volatility Project, President of the Volatility Foundation, and Chair of Open Memory Forensics Workshop.
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