Address 2300 West Main Street, Suite D-100, Belleville, IL 62226 Phone (618) 277-1550 Fax (618) 277-1553
Southern Illinois Law Enforcement Commission
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16 Hour Mobile Phone Investigations

Registrations are closed for this class
  • This event meets the criteria for specific mandated training
  • Non members please click here to contact us to request access to online registrations.
Date: Monday, July 15, 2024
Ends On: Tuesday, July 16, 2024
Time: 8:00 AM - 5:00 PM
O'Fallon Police Department
285 North Seven Hills Road
O'Fallon, Illinois 62269
Driving Directions
Instructor: Jeffrey German
Class Limit: 30
Please bring a notebook and pen/pencil for taking notes during lecture.

This course will provide law enforcement officers with the necessary information to successfully seize and analyze Cell Phone data & iOS/Google Records. Students will be instructed on how to properly seize mobile phones and how to examine the data. Cell phone forensic extraction tools will be discussed along with instructions on how data is stored on a cell phone. The class will combine classroom lecture and practical exercises with forensic mapping software and Cellebrite phone extraction reports.
At the end of this unit the trainee will be able to:
  • Seize Mobile Phones properly.
  • Use Mobile Phone Forensic tools.
  • Understand the type of data that can be obtained from mobile phone extraction.
  • Understand digital data and how it is stored on mobile phones.
  • Understand Apple and Google device data and collection.
  • Use of geolocation data from third party apps and other data.
  • Proper use of Cellebrite to review phone data.
  • Demonstrate the use of Google Earth.
  • Demonstrate how to forensically map Apple iOS device location data.
  • Understand Google location data.
  • Demonstrate how to forensically map Google location data.
  • Understand Google Geofence location data.
  • Demonstrate how to forensically map Google Geofence location data.
 Topics are but not limited to:
  • Seizing mobile phones properly
  • Digital data
  • Mobile phone forensics
  • Apple data
  • Android data
  • Advertiser ID data
  • 3rd party App location data
  • Google data
  • Google records
  • LPR data