Drone Forensic Investigation

Drone forensics is a branch of digital forensics relating to recovery of digital evidence or data from a drone under forensically sound conditions. The phrase drone forensics (UAV) usually refers to drones; however, it can also relate to any wireless remote controlled UAV that has both internal memory and communication ability, including Cameras, WiFI, GPS, and 3G or 4G connectivity.

Drones and all types of unmanned aerial vehicle (UAV's) are proven to be valuable sources of information in the majority of criminal investigations. Parties in litigation seeking to prove wrongdoing often find important evidence, clues and traces by analysing activities stored on drones, including flight routes and their creation and landing locations as well as photos the drone has taken, whom has operated it, the controller ID and metadata.

Digitpol has developed a city-wide sensor network based detection platform that monitors drone activity by MAC address, the platform can be used to collect intelligence on rogue drones, evidence on historic flights and to log activity near protected zones. The cloud platform performs the analysis and sensors can be mounted anywhere, across cities, countries and in vehicles.

Monitoring Drones

Signal Analysis
Drone MAC monitoring
Digitpol Wifi Forensics
Drone Monitor

Recover Data From Drones

Digitpol utilizes expert forensic technology to carry out forensic acquisition of data from the supported drones.

What Data is Recoverable 

  • Serial number of the  drone aircraft and some internal components such as MAC, IMEI, & IMSI
  • Version numbers for firmware
  • Metadata from operations such as launching, waypoint logs, GPS available or unavailable during flight.
  • Geo location information for critical locations - launching, landing, and home or return location
  • Full flight path information
  • Wifi Data | SSID | MAC | I.P
  • Bluetooth | Paired devices | Timestamp
Digitpol Mobile Labs
Jammer-Detector-WiFi-Bluetooth-Capture-Remote-Monitoring-1024x768@2x
Wifi
Signal Intel

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