Overall Procedure of Feature Extraction. Credit: Forensic Identi铿乧ation of GSM Mobile Phones, Jakob Hasse et al.
(麻豆淫院) 鈥擫aw enforcement officials may soon have a new tool at their disposal鈥攁 device that can distinguish between cell phones based on their digital signal. In the never ending game of cat-and-mouse between law enforcement and criminals, this new advancement may give the good guys the upper hand鈥攁ll due to a discovery by a team of engineers in Germany.
The development of the cell phone has led to new advances in both law enforcement and criminal evasion. Police officers use cell phones to communicate with one another, as do criminals. It didn't take long, however, for the police to figure out that they could track criminals as they talk on their cell phones using triangulation of cell towers. To keep from getting caught, criminals began using new evasion tactics such as modifying the built-in ID code on their cell phone or swapping out SIM cards鈥攄oing so made it nearly impossible for law enforcement to track them down by their cell phone signals alone. This new advance by the engineers in Germany appears likely to thwart that strategy.
Working at the Technical University of Dresden, engineers Jakob Hasse, Thomas, Gloe and Martin Beck found that each of the separate components inside a cell phone has a degree of error. When all of the errors are taken together, as seen in the digital signal sent to a cell tower, the result can be read as a unique digital signal鈥攐r fingerprint. That means that no matter what criminals do to their cell phone鈥攕hort of swapping out internal components鈥攖heir phones will continue to emit a unique signal that can be read by a device and used to separate it out from all the other cell phone signals. Once that's done the location of the phone鈥攁nd possibly the criminals鈥攃an be calculated using triangulation of cell towers.
Unfortunately, a device to read and recognize the unique signature of cell phones is still in the research and development stage, though the engineers on the project report a nearly 98 percent success rate in correctly identifying a signal. Law enforcement would surely like to see that number bumped to 100 to avoid finding themselves occasionally raiding the wrong house.
Written for you by our author 鈥攖his article is the result of careful human work. We rely on readers like you to keep independent science journalism alive. If this reporting matters to you, please consider a (especially monthly). You'll get an ad-free account as a thank-you.
More information: Forensic Identi?cation of GSM Mobile Phones, Jakob Hasse et al. ()
via
漏 2013 麻豆淫院