Showing posts with label track. Show all posts
Showing posts with label track. Show all posts

Monday, November 21, 2011

How Facebook Tracks You?--Secret Revealed

Facebook has itself revealed its secret of tracking people...
According to USA Today, the complete picture how the social network keeps tabs on its 800 million users was revealed through series of interviews with the social networking site's engineering director, spokesman, corporate spokesman and engineering manager.

Facebook does not track everybody the same way, as it uses different methods for members who have signed in and are using their accounts, members who are logged-off and non-members.
The first time you arrive at any Facebook page, the company inserts cookies in your browser.
If you sign up for an account, it inserts two types of cookies and if you don't set up an account, it inserts only one of the two types.

These cookies record every time you visit another website that uses a Facebook "Like button" or other Facebook plugin, which work together with the cookies to note the time, date and website being visited.
Unique characteristics that identify your computer are also recorded.
Facebook keeps logs that records your past 90 days of activity and deletes entries older than 90 days, the Sydney Morning Herald reported.

If you are logged into a Facebook account, your name, email address, friends and all of the other data in your Facebook profile are also being recorded.

Data about web searches and browsing habits could be used to figure out political affiliations, religious beliefs, sexual orientations or health issues about consumers...
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Sunday, October 23, 2011

Hackers Can Identify What You Type On Your Smartphone

Yeah! Its Strange but true..
WASHINGTON: A research team at Georgia Tech claims that it has discovered how to use a users smartphone to track what the person is typing on the keyboard.
The smartphone accelerometer, an internal device that detects when and how the phone is tilted, senses keyboard vibrations and deciphers complete sentences with up to 80 per cent accuracy.
"We first tried our experiments with an iPhone 3GS, and the results were difficult to read," Patrick Traynor, assistant professor in Georgia Tech's School of Computer Science, said.
"But then we tried an iPhone 4, which has an added gyroscope to clean up the accelerometer noise, and the results were much better. We believe that most smartphones made in the past two years are sophisticated enough to launch this attack," he said.
The technique works through probability and by detecting pairs of keystrokes, rather than individual keys. It models "keyboard events" in pairs, then determines whether the pair of keys pressed is on the left versus right side of the keyboard, and whether they are close together or far apart.
After the system has determined these characteristics for each pair of keys depressed, it compares the results against a preloaded dictionary, each word of which has been broken down along similar measurements, i.e., are the letters left/right, near/far on a standard QWERTY keyboard.
The technique works reliably only on words of three or more letters. "The way we see this attack working is that you, the phone's owner, would request or be asked to download an innocuous-looking application, which doesn't ask you for the use of any suspicious phone sensors," Henry Carter, one of the study's co-authors, said.
"Then the keyboard-detection malware is turned on, and the next time you place your phone next to the keyboard and start typing, it starts listening," carter said.
The study has been published in the paper "(sp)iPhone: Decoding Vibrations From Nearby Keyboards Using Mobile Phone Accelerometers," and will be presented on 20th October....
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About The Author

Nikhil Jain is a prolific tech-blog writer for 2 years and is also completing his matriculation as a school student... He writes for his passion about tech-problems, how-to, new softwares & is also an expert in cracking softwares...
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