Simple passwords are easy to remember but easy to crack; complex passwords are hard to crack but hard to remember. So what if you can have an authentication system that others cannot crack and you do not forget?
That can be a possibility as researchers have claimed that “Facelock”, a newly proposed alternative based on the psychology of face recognition, could put an end to forgotten passwords and protect users from prying eyes.
“Pretending to know a face that you do not know is like pretending to know a language that you do not know. It just doesn’t work,” said Rob Jenkins from Britain’s University of York.
Moreover, unlike password or PIN-based security systems, a familiarity-based approach never requires users to commit anything to memory.
Familiarity with a particular face determines a person’s ability to identify it across different photographs and as a result a set of faces that are known only to one person can be used to create a personalised lock, the findings showed.
- Lenovo k6 Power Video Review
- Bigg Boss 10 December 5 Review: Manveer Calls Swam Om ‘kachdaa’
- PM Narendra Modi Declared Winner Of TIME Magazine’s Person Of The Year – Reader’s Poll
- Paneerselvam sworn in as new Chief Minister of Tamil Nadu
- Tamil Nadu CM J Jayalalithaa Passes Away After Suffering Cardiac Arrest
- J.Jayalalithaa’s Life Journey
- Here’s Why Delhi-NCR Gets Pollution Code On Lines Of Beijing
- PM Modi Is More Interested In TRP Politics Rahul Gandhi At Congress Parliamentary Meet
- Bigg Boss 10 December 1 Review: Priyanka Jagga Succeeds In Her Divide And Rule Strategy
- Kahaani 2 Audience Reaction: Vidya Balan Starrer Thriller Gets Mixed Reviews
- Find Out What PM Modi Said About Demonetisation On LinkedIn
- Row Over West Bengal ”Military Coup” Issue Escalates: Who Said What
- Here’s How Mohammad Kaif Replied To Virender Sehwag’s Birthday Wish On Twitter
- West Bengal CM Mamata Banerjee’s Flight Reportedly Had Low Fuel: Here’s What Happened
- Reliance Jio Welcome Offer Extended Till March 31, JioMoney Launched
Access is then granted to anyone who demonstrates recognition of the faces across images, and denied to anyone who does not.
To register with the system, users nominate a set of faces that are well known to them, but are not well known to other people.
By combining faces from across a user’s domains of familiarity – say, music and sports – the researchers were able to create a set of faces that were known to that user only.
The findings appeared in the journal PeerJ.