iPhone Forensics: Recovering Evidence, Personal Data, and Corporate Assets
Language: English
Published by O'Reilly Media, 2008
- Softcover
- Used
Condition: Used - Good
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[ No Hassle 30 Day Returns ][ Ships Daily ] [ Underlining/Highlighting: NONE ] [ Writing: NONE ] [ Edition: first ] Publisher: O'Reilly Media, Inc. Pub Date: 9/17/2008 Binding: Paperback Pages: 138 first edition.
Seller Inventory # 6908983
- Title
- iPhone Forensics: Recovering Evidence, Personal Data, and Corporate Assets
- Author
- Jonathan Zdziarski
- Publisher
- O'Reilly Media
- Publication year
- 2008
- Condition
- Good
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 0596153589
- ISBN 13
- 9780596153588
"This book is a must for anyone attempting to examine the iPhone. The level of forensic detail is excellent. If only all guides to forensics were written with this clarity!"-Andrew Sheldon, Director of Evidence Talks, computer forensics experts
With iPhone use increasing in business networks, IT and security professionals face a serious challenge: these devices store an enormous amount of information. If your staff conducts business with an iPhone, you need to know how to recover, analyze, and securely destroy sensitive data. iPhone Forensics supplies the knowledge necessary to conduct complete and highly specialized forensic analysis of the iPhone, iPhone 3G, and iPod Touch. This book helps you:
- Determine what type of data is stored on the device
- Break v1.x and v2.x passcode-protected iPhones to gain access to the device
- Build a custom recovery toolkit for the iPhone
- Interrupt iPhone 3G's "secure wipe" process
- Conduct data recovery of a v1.x and v2.x iPhone user disk partition, and preserve and recover the entire raw user disk partition
- Recover deleted voicemail, images, email, and other personal data, using data carving techniques
- Recover geotagged metadata from camera photos
- Discover Google map lookups, typing cache, and other data stored on the live file system
- Extract contact information from the iPhone's database
- Use different recovery strategies based on case needs
And more. iPhone Forensics includes techniques used by more than 200 law enforcement agencies worldwide, and is a must-have for any corporate compliance and disaster recovery plan.
"Synopsis" may belong to another edition of this title.
About the Author
Jonathan is also a full-time research scientist specializing in machine learning technology to combat online fraud and spam, an effort that led him to develop networking products capable of learning how to protect customers. He is founder of the DSPAM project, a high-profile, next-generation spam filter that was acquired in 2006 by Sensory Networks, Inc. He lectures widely on the topic of spam and is a foremost researcher in the fields of machine-learning and algorithmic theory.
Jonathan's website is zdziarski.com.
"About the title" may belong to another edition of this title.
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