Cell phone spying on you

What I saw

Do you even worry about it? So get in touch, let's have a conversation. I'm on Twitter or you can email me if that's your thing on datalife abc. If you're the kind of person who's interested in the technical details, here is the short version of how this all works. There is more detail about the specific setup on GitHub.

You could even try it yourself if you're really into it. Topics: social-media , internet-culture , computers-and-technology , internet-technology , information-and-communication , australia. First posted October 25, Contact Simon Elvery. If you have inside knowledge of a topic in the news, contact the ABC. ABC teams share the story behind the story and insights into the making of digital, TV and radio content. Read about our editorial guiding principles and the enforceable standard our journalists follow.

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Making Assumptions About Attacks

Story Lab. External Link: A phone spying on its owner. Want to help? Is there something you'd like to know about the data being shared by your devices?

Let me know I'm expecting a lot of data and might need some help sifting through it. Get in touch if you'd be up for that Let's chat on Twitter where I will be tweeting about what I find using the DataLife hashtag You can email me on datalife abc. External Link: Tweet: DataLife.

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Know if Someone Is Spying on My Phone

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Yes, your phone is spying on you and these researchers proved it | snifigemdo.tk

Tour de France winner unclear The French are back, the course is spectacular and, with less than a week to go to Paris, we still don't know who will win. Top Stories Punches thrown as students clash over Hong Kong freedom at Australian uni Labor MP warns the promise of universal health care is under threat after cancer diagnosis 'Australia's original domestic goddess': Margaret Fulton dies aged 94 Great grandmother's nightclub cash wipes out RSL's half-million dollar debt Why did Donald Trump say he could wipe Afghanistan 'off the face of the Earth'?

The recent Meltdown and Spectre vulnerabilities that exploit design flaws in computer processors, are also side-channel attacks. Mobile devices are perfect targets for this sort of attack from an unexpected direction. They are stuffed with sensors , usually including at least one accelerometer, a gyroscope, a magnetometer, a barometer, up to four microphones, one or two cameras, a thermometer, a pedometer, a light sensor and a humidity sensor.

Apps can access most of these sensors without asking for permission from the user. When a user taps on the screen in different locations, the phone itself rotates slightly in ways that can be measured by the three-axis micromechanical gyroscopes found in most current phones. A tap close to the center of the screen will not move the phone much, will reach both microphones at the same time, and will sound roughly the same to all the microphones.

However, a tap at the bottom left edge of the screen will rotate the phone left and down; it will reach the left microphone faster; and it will sound louder to microphones near the bottom of the screen and quieter to microphones elsewhere on the device.


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This sort of function could be added secretly to any app and could run unnoticed by a user. The route taken by a driver, for instance, can be simplified into a series of turns, each in a certain direction and with a certain angle. And the accelerometer showed whether a user was stopped, or moving.

Is the U.S. government spying on me?

By measuring a sequence of turns, and stringing them together as a person travels, we could make a map of their movements. In our work, we knew which city we were tracking people through, but a similar approach could be used to figure out what city a person was in. Matching the route of a smartphone with a trip through Boston. We developed an algorithm to match those movements up against a digitized map of the streets of the city the user was in, and determined which were the most likely routes a person might take.

We were even able to refine our algorithm to incorporate information about curves in roads and speed limits to help narrow options. We produced our results as a list of possible paths ranked by how likely the algorithm thought they were to match the actual route. About half the time, in most cities we tried, the real path a user followed was in the top 10 items on the list. Further refining the map data, sensor readings and the matching algorithm could substantially improve our accuracy.


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Again, this type of capability could be added to any app by a malicious developer, letting innocent-appearing apps snoop on their users. Our research group is continuing to investigate how side-channel attacks can be used to reveal a variety of private information.