Forget fingerprints, routers could soon help police solve crimes: Data collected by Wi-Fi devices can find and identify criminals
Source: dailymail.co.uk
Fingerprints and DNA are key evidence in identifying criminals, but crime scene investigators of the future may add Wi-fi to their toolkit for tracking down lawbreakers.
If police were able seize Wi-fi devices at the scene of a crime, they could have access to vital information which could place people at the scene at the time an incident took place.
Dan Blackman, a PhD candidate at Edith Cowan University in Australia, and technical adviser to Western Australia Police, thinks police are missing out by not using this key source of information.
Routers, for example, capture 'chatter' from smartphones, tablets and wearables, including successful and failed attempts to log onto a network, as well as the time they attempted to connect.
In addition, routers capture a media access control (MAC) address from mobile devices, which are unique identifiers for each phone, laptop or tablet that try to connect to the network.
Mr Blackman described the information from Wi-Fi devices as ‘gold’ in terms of evidence for court.
Speaking to Science Network WA, he said: ‘These devices could hold a lot of information, but we're not capturing it.’
‘If we were to look at it from a purely legal perspective, we might be able to place a specific person at a specific location at a specific time.'
However, one of the limiting factors is the often short window of time in which investigators have to secure the information.
Many devices store a limited amount of information and have limited memory capacity.
For older routers, this may be as little as a few hundred kilobytes of data - the equivalent of a few hundred paragraphs of text.
As storing logs isn’t a primary necessity for routers, even more modern devices may fill up within minutes.
And for detectives on the scene looking to freeze the data capture process, switching off the device could cause havoc.
‘If we power off the Wi-Fi device we lose a heck of a lot of data, which causes issues with seizure,’ explained Mr Blackman.
One more pitfall awaits once the device is switched off.
As they often contain internal and external antennae for communication, switching off the power can cause the input to switch from one to the other.
‘So the moment you disconnect the external aerial, [the internal] fires up, and you still have connectivity to the device,’ he added.
The use of Wi-Fi as a tool to track criminals is one example of the potential novel uses proposed for the longstanding technology.
In 2014, Helsinki airport unveiled controversial plans to track passengers as they move around the terminals via their mobile phones.
The technology enabled airport staff to pinpoint the location of mobile phones with Wi-Fi setting turned on, and drew criticism from privacy advocates.
The system had been aimed to monitor crowds and eliminate bottlenecks at security checkpoints and shopping areas, as well as send alerts to passengers if their departure times or gates change.
London’s City Airport also recently won £800,000 of funding to develop the tracking technology as part of its Internet of Things.
The airport is using the technology to monitor servicing equipment as well as triangulate the location of passengers in the terminal.
In more unusual use of Wi-Fi, researchers in the US have used the signals to see through walls.
The device transmits wireless signals that travel through the wall and reflect off a person's body back to the device.
It begins by scanning the 3D space to capture wireless reflections of objects in the room, including the human body.
Since only a subset of body parts reflect the signal back at any given point in time, the device then monitors how these reflections vary as someone moves and walks.
It can intelligently stitch the person's reflections across time to reconstruct his silhouette into a single image.
Once captured, these reflections are analysed. To differentiate between people, the team repeatedly tested and trained the device on different subjects, using metrics such as height and shape to create concrete 'silhouette fingerprints' for each person.
Source: dailymail.co.uk
