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These databases store everything from chat communications to file locations to individual applications’ user data.
#Ufed reader export date range series#
Most mobile devices store information in a series of databases, usually in SQLite format. When considering advanced analysis of mobile devices, you should first have a high-level understanding of the types of available information and the methods mobile devices typically use to store data. Non-communications data offers a wealth of information potentially available from mobile devices that can be used for fact development, such as location history, web browsing activity, and call logs. The content can include passwords needed to access content on the device or elsewhere various types of notes entered by the user multiple different sources of location data, including locations at which the user took pictures photos the user took or received number of steps taken and so on. Non-communications data consists of every form of data other than communications data. Technology professionals can help you take a deeper dive into mobile data that may reveal more about the user’s activity. You may also find indications of data sources outside of the mobile device that you may want to collect, such as cloud-based accounts that are identified in the “User Accounts” data. For example, “Instant Messages” data often is not included in the “Chats” data if you only consider the latter, you could be ignoring key information. If you limit your analysis to specific categories of content, you may find that a related data set also needs to be included to get a more complete picture of what happened. Text from communications can be used both to support or refute hypotheses you have constructed and to help you find important information you had not imagined might exist. Metadata from communications can be used to help create timelines, map webs of communications between actors you care about, and identify gaps in communications. The communications content is key to efforts to find out what happened leading up to a lawsuit or investigation and to building up and tearing down the narratives that help drive investigations and lawsuits to resolution.
#Ufed reader export date range full#
It also includes messaging from social media and chat applications, such as Skype, Facebook, and LinkedIn, running the full spectrum from purely personal to professional only.įrom an analytical perspective, communications data matters because it can help you figure out who was communicating with whom, when, and about what. It includes emails from whatever email accounts are on the phone, business and personal. The chart below displays different types of information available from mobile devices organized into those two groups: Communications DataĬommunications data encompass all communications available from or through the device.
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Understanding and organizing the available dataĪn initial step toward better understanding mobile device data is to organize that content, conceptually, into two groups: communications data and non-communications data. In Part 3, we examine advanced strategies for analyzing device data and how you can apply those strategies to your cases. In Part 2, we turned to the types of information you can expect to encounter with mobile devices and key considerations for analyzing, reviewing, and producing these types of data. In Part 1 of our series on mobile devices, we discussed preserving and collecting mobile device data.