Cell phones reveal much about our daily communications—the who, when and what of our calls and texts. A small chip card within most phones, called an identity module, stores this and other data for a subscriber. A subscriber identity module (SIM) accommodates phonebook entries, recently dialed numbers, text messages and cellular carrier information. Forensic examiners use off-the-shelf software tools to extract the data, allowing them to "connect the dots" in a criminal case such as identifying affiliations or detecting mobile phone activity around the time of an event.
But for this information to be used as evidence in court or other formal proceedings, the software tools that forensic teams employ are normally validated to determine suitability for use. Currently, preparing test materials for assessing cell phone tools is labor intensive and may require learning new command languages to perform the process.
NIST scientists detail their proof-of-concept research in a NIST Interagency Report, Mobile Forensic Reference Materials: A Methodology and Reification (available online at http://csrc.nist.gov/publications/nistir/ir7617/nistir-7617.pdf.) They also developed an experimental application, called SIMfill, and a preliminary test dataset that follows the methodology described in the report. SIMfill can be used to automatically upload cell phone data such as phone numbers and text messages to "populate" test SIMs that can then be recovered by forensic cell phone tools. In this way, examiners can use SIMfill as one method to assess the quality of their off-the-shelf tool.
The SIMfill software and dataset may be downloaded for free at http://csrc.nist.gov/groups/SNS/mobile_security/mobile_forensics_software.html.
"In this report," explains coauthor Wayne Jansen, "we document the results of a recent experiment with a number of commonly used mobile phone forensics tools. No tool was found to work perfectly and some worked poorly on fairly simple test cases."
The automated features of the applications and XML representation of test data allow technicians to develop new test cases easily. This offers a simple alternative to using manual means or specialized tools with higher learning curves. The data can be adapted to different languages with alternate character sets.
"Our research was a proof of concept," Jansen says. "Hopefully, forensic examiners will use our work to validate mobile forensics tools thoroughly before they employ them." The next step in the research is open. Scientists could expand the technique for mobile handsets and other types of identity modules, or the forensic community could decide to adopt this dataset and application as an open source project, according to Jansen.
Evelyn Brown | EurekAlert!
Monocrystalline silicon thin film for cost-cutting solar cells with 10-times faster growth rate fabricated
16.03.2018 | Tokyo Institute of Technology
Research gets closer to producing revolutionary battery to power renewable energy industry
15.03.2018 | University of Kansas
Animal photoreceptors capture light with photopigments. Researchers from the University of Göttingen have now discovered that these photopigments fulfill an...
On 15 March, the AWI research aeroplane Polar 5 will depart for Greenland. Concentrating on the furthest northeast region of the island, an international team...
The world’s second-largest ice shelf was the destination for a Polarstern expedition that ended in Punta Arenas, Chile on 14th March 2018. Oceanographers from...
At the 2018 ILA Berlin Air Show from April 25–29, the Fraunhofer Institute for Laser Technology ILT is showcasing extreme high-speed Laser Material Deposition (EHLA): A video documents how for metal components that are highly loaded, EHLA has already proved itself as an alternative to hard chrome plating, which is now allowed only under special conditions.
When the EU restricted the use of hexavalent chromium compounds to special applications requiring authorization, the move prompted a rethink in the surface...
At the ILA Berlin, hall 4, booth 202, Fraunhofer FHR will present two radar sensors for navigation support of drones. The sensors are valuable components in the implementation of autonomous flying drones: they function as obstacle detectors to prevent collisions. Radar sensors also operate reliably in restricted visibility, e.g. in foggy or dusty conditions. Due to their ability to measure distances with high precision, the radar sensors can also be used as altimeters when other sources of information such as barometers or GPS are not available or cannot operate optimally.
Drones play an increasingly important role in the area of logistics and services. Well-known logistic companies place great hope in these compact, aerial...
16.03.2018 | Event News
13.03.2018 | Event News
08.03.2018 | Event News
16.03.2018 | Earth Sciences
16.03.2018 | Physics and Astronomy
16.03.2018 | Life Sciences