IT Forensics · Car
Combined analysis of vehicle and mobile phone data
The vehicle and smartphone record the same journey from two different perspectives: the vehicle records connections, calls and vehicle events, whilst the smartphone records movements, app usage and location history. By combining these, gaps can be filled – for example, when the vehicle does not store location data – and insights into usage can be refined.
This point is particularly important when it comes to vehicles, as manufacturers, model types, software versions and the storage and transmission formats used can vary considerably. A conventional petrol or diesel car, a modern electric vehicle and a commercial vehicle fitted with a tachograph cannot be treated according to the same technical approach. The storage location, data format, encryption and connectivity determine which data is accessible and which backup method causes the least disruption.
A combined analysis of both data sources can fill gaps in individual systems and enhance the overall validity of the study.
Technical background
A smartphone can be paired with several vehicles, and a vehicle with many phones. A pairing indicates that a device was in the vehicle, not who was driving. Smartphone data such as physical activity, CarPlay/Android Auto sessions or screen usage whilst driving can provide additional clues.
Relevant evidence and data sources
- Vehicle: connected devices, call logs, navigation destinations, ignition/door events
- Smartphone: Location history, physical activity, CarPlay/Android Auto sessions, screen and app usage
- Telematics or manufacturer portals (where available)
Why LanCologne?
LanCologne does not examine digital traces relating to vehicles according to a blanket standard procedure, but rather on the basis of the specific vehicle type, the available data sources and the evidence at issue. Our staff have decades of experience in information technology and many years of practical experience in IT forensics.
Here’s how we do it
- Separate fuse protection for both power sources.
- Normalisation of the time axes.
- Matching events and assessing similarities and discrepancies.
Borders
- It is usually not possible to identify the person behind the wheel from the device data alone.
- The absence of a connection does not rule out the presence of a telephone.
Possible results
- Consolidated timeline of the journey
- Guidance on using devices whilst driving
- Identification of unresolved contradictions
Typical areas of application
Why is this area of investigation relevant to forensics?
Vehicle data and data from connected mobile devices often complement one another, for example when vehicle-based location data is missing but a connected smartphone has recorded its own position or movement data.
The forensic value lies not solely in the volume of data found, but in its origin and reliability. A file name, a timestamp or a log entry can be misleading without context. That is why we document how an artefact may have come into being, what alternative explanations exist and what further evidence supports the findings.
A combined analysis of both data sources can fill gaps in individual systems and enhance the overall validity of the study.
Particularly in the case of vehicles, attempts to carry out a comprehensive technical analysis may also reach their limits if manufacturers use proprietary, unpublished data formats. A lack of documentation, encrypted memory areas and manufacturer-specific cloud connections highlight why it is so important to carry out a professional backup and to communicate existing limitations transparently before the actual analysis begins. Errors made at this stage cannot always be rectified later on.
Frequently Asked Questions
LanCologne – Vehicle IT Forensics, Cologne
Do you require a professional investigation into the „Combined analysis of vehicle and mobile phone data"? LanCologne supports you in the secure collection of evidence, multi-stage analysis and traceable documentation of digital traces relating to vehicles. The key here is not to generate as many automatic matches as possible, but to secure technically sound and verifiable evidence.