"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.
About the Author
Jonathan Zdziarski is better known as the hacker "NerveGas" in the iPhone development community. He is well known for his work in cracking the iPhone and lead the effort to port the first open source applications. Hailed on many geek news sites for his accomplishments, Jonathan is best known for the first application to illustrate and take full advantage of the major iPhone APIs: NES.app, a portable Nintendo Entertainment System emulator.
Jonathan is also a full-time research scientist and longtime spam-fighter. He is founder of the DSPAM project, a high profile, next-generation spam filter that was acquired in 2006 by a company designing software accelerators. 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.