New article: Smartphones fingerprint lock has a weakness read more at here http://www.spinonews.com/index.php/technology/item/3313-smartphones-fingerprint-lock-has-a-weakness

The fingerprint-based security systems on phones and other electronic devices may be more possibilities of attacking a previously thought.

Fingerprint authentication contain sensors it doesn’t take the full finger prints it captures only some limited impressions from your fingers. They scan and store partial fingerprints, and heavy users use their different fingers in authentication. The authentication approves the Identity when a user’s fingerprint matches any one of the saved partial prints.

Researchers have made a study and have decided that users of different partial finger prints can make a new Blue print and this methodology is termed as Masterprint Concept.

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The MasterPrint concept is similar in manipulating the fourdigit based PIN system, says Nasir Memon, professor of computer science and engineering at New York University Tandon. “About 4 percent of the time, the password 1234 will be correct, which is a relatively high probability when you’re just guessing.”

Researchers want to make a master print in collecting all the partial prints that it helps in making some level of Vulnerabilities. They proved that patterns in human finger print are common in among them. By these circumstances researches have claimed that this leads to high in security Indeed, they found that certain attributes in human fingerprint patterns were common enough to raise security issues.

For the study, published in IEEE Transactions on Information Forensics & Security, researchers looked at 8,200 partial fingerprints. Researchers have been Using a commercial fingerprint verification software, they found an average of 92 potential MasterPrints for every randomly sampled batch of 800 partial prints. Among these finger print matches 4% of them are similar randomly in every slot of finger print samples.

They found, just one finger Master Print in a sample of 800 full prints. The team analyzed the attributes of MasterPrints culled from real fingerprint images, and then built an algorithm for creating synthetic partial MasterPrints.

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 Synthetic partial prints are better in matching, making them more likely to fool biometric security systems than real partial fingerprints. By using digitally simulated MasterPrints, they have matching between 26 and 65 percent of users, depending on how many partial fingerprint impressions were stored for each user and assuming a maximum number of five attempts per authentication.

The more partial finger prints are stored in smartphone for authentication is in higher risk of security attacks and these makes an easy way to make a Master print and hack the devices.

 

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