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How computers of the future will recognise us

Many now think that passwords cannot secure their PCs and phones, so how will we gain access to our devices in the near future?
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By Eileen Brown, Contributor on
How computers of the future will recognise us ZDNet
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Three-factor authentication

Three-factor authentication -- using three pieces of evidence, such as PIN codes, biometrics, and pattern recognition gestures like in Windows 10's picture password feature will allow you to gain access to your device. Passwords will become irrelevant.

How computers of the future will recognise us ZDNet
3 of 6 NicolaGiordino

Odor authentication

Computers have been getting smarter at odor recognition, and it is very likely that our devices can be configured to recognise our own unique scent and unlock for us.

IBM has been working on computers that can detect smells and diseases that can be integrated into mobile devices and recognise you from your own unique smell.

How computers of the future will recognise us ZDNet
4 of 6 TomasZMikolajczyk

Differential privacy

Differential privacy is used alongside machine learning to scramble data so it can not be traced back to an individual. Homomorphically encrypted data -- data that allows encrypted data to be calculated and results delivered without any access to the original data -- can be used by cloud computers to provide better security.

This will ensure that our mobile devices will become more secure for us in the future -- protecting our data and our cash.

How computers of the future will recognise us ZDNet
5 of 6 Geralt

Verification and authenticity

In the wake of the fake news phenomenon and anonymity, networks and sites have must offer proper verification and authenticity of sources and individuals.

Social networks could tweak their algorithms to surface posts and articles in their feeds that come from reliable and credible sources -- or check the facts out yourself. The proliferation of fake news would then fade quietly away.

How computers of the future will recognise us ZDNet
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