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Samsung Galaxy S8's Facial Unlocking Feature Can Be Fooled With A Photo

Samsung Galaxy S8's Facial Unlocking Feature Can Be Fooled With A Photo

Mar 31, 2017
Samsung launched its new flagship smartphones, the Galaxy S8 and Galaxy S8 Plus, at its Unpacked 2017 event on Wednesday in New York, with both IRIS and Facial Recognition features, making it easier for users to unlock their smartphone and signing into websites. All users need to do is simply hold their Galaxy S8 or S8 Plus in front of their eyes or their entire face, as if they were taking a selfie, in order to unlock their phone. Biometric technology – that involve person's unique identification (ID), such as Retinal, IRIS, Fingerprint or DNA – is now being integrated into more consumer devices for improved security. But, we have seen a number of hacks involving Biometric security systems in the past, which prove that fingerprint scanner and IRIS scanner  are less secure than a passcode and can be fooled by anyone, perhaps, using a photograph of the user. But how secure is the built-in sensor from Samsung to allow for facial recognition? Not so much...at least for now
Police Scan 117 Million Driving Licence Photos for Face Recognition Database

Police Scan 117 Million Driving Licence Photos for Face Recognition Database

Oct 19, 2016
Your driver's license photo could be scarier than it actually looks — Well, here's why: With the help of state driver's license data, U.S. law enforcement agencies have created a huge a face-recognition database of more than 117 Million American adults that are regularly scanned in the course of police investigations. What's even worse? Most of those people who are scanned by police without prior knowledge are law-abiding citizens. According to a 150-page study published Tuesday by the Center for Privacy & Technology at the Georgetown University, ID photographs of more than 117 Million adult US citizens — that's about half of the US population — are now part of the " Perpetual Line-up ," which can be searched using facial-recognition software. In the past few years, Facial Recognition technology has improved enormously. Even big technology companies like Facebook have developed so powerful facial recognition software that they can even ide
Cybersecurity Tactics FinServ Institutions Can Bank On in 2024

Cybersecurity Tactics FinServ Institutions Can Bank On in 2024

Feb 14, 2024Financial Security / Cyber Threats
The landscape of cybersecurity in financial services is undergoing a rapid transformation. Cybercriminals are exploiting advanced technologies and methodologies, making traditional security measures obsolete. The challenges are compounded for community banks that must safeguard sensitive financial data against the same level of sophisticated threats as larger institutions, but often with more limited resources. The FinServ Threat Landscape Recent trends show an alarming increase in sophisticated cyber-attacks. Cybercriminals now deploy advanced techniques like deep fake technology and AI-powered attacks, making it increasingly difficult for banks to differentiate between legitimate and malicious activities. These developments necessitate a shift towards more sophisticated and adaptive cybersecurity measures. Take these industry statistics, for example. Financial firms report 703 cyberattack attempts per week.1 On average, 270 attacks (entailing unauthorized access of data, appl
This App Lets You Find Anyone's Social Profile Just By Taking Their Photo

This App Lets You Find Anyone's Social Profile Just By Taking Their Photo

May 18, 2016
Is Google or Facebook evil? Forget it! Russian nerds have developed a new Face Recognition technology based app called FindFace , which is a nightmare for privacy lovers and human right advocates. FindFace is a terrifyingly powerful facial recognition app that lets you photograph strangers in a crowd and find their real identity by connecting them to their social media accounts with 70% success rate, putting public anonymity at risk. The FindFace app was launched two months ago on Google Play and Apple's App Store and currently has 500,000 registered users and processed nearly 3 Million searches, according to its co-founders, 26-year-old Artem Kukharenko, and 29-year-old Alexander Kabakov. According to The Guardian , FindFace uses image recognition technology to compare faces against profile pictures on Vkontakte, a very popular social networking site in Russia that has over 200 Million users. Besides showing the social media account of the one you are searching for, FindF
cyber security

The Critical State of AI in the Cloud

websiteWiz.ioArtificial Intelligence / Cloud Security
Wiz Research reveals the explosive growth of AI adoption and what 150,000+ cloud accounts revealed about the AI surge.
Facebook Can Recognize You Even if You Don't Show Your Face

Facebook Can Recognize You Even if You Don't Show Your Face

Jun 26, 2015
Well, this is incredible and scary both at the same time. Forget about "facial" recognition; Facebook's newest technology is way good at identifying you in photos even without the need to see your face . The New Scientist is reporting about the Facebook's new "experimental" facial recognition algorithm which is so powerful that it can identify you in photos even when your faces are hidden. Instead, the Facebook's extremely accurate facial recognition algorithm uses other unique characteristics — such as your hairstyle, your body shape, your body language, your clothing and how you carry yourself — to identify that it's you. Facebook's New Facial Recognition Technology - 83% Accurate Facebook's artificial intelligence lab is working on this technology and, according to the head of artificial intelligence at Facebook Yann Lecun , the experimental algorithm is currently able to identify individuals with 83% accuracy, even if
China Develops Facial Recognition Payment System with Near-Perfect Accuracy

China Develops Facial Recognition Payment System with Near-Perfect Accuracy

Sep 10, 2014
In an intent to move one step forward from others, China is planning to launch a facial recognition payment application with near-perfect accuracy that enables users to authorize their online transactions just by showing a picture of themselves. Chinese researchers from the Chongqing-based research institute have developed a facial recognition system that can pick faces from a crowd with 99.8 percent accuracy from 91 angles. CHINA FACE-RECOGNITION PAYMENT SYSTEM TO LAUNCH IN 2015 Academic at the Chongqing Institute of Green has set up the world's biggest Asian face database displaying more than 50 million Chinese faces. The database was compiled with help from the University of Illinois and the National University of Singapore. The face-recognition payment system is not completely developed at the moment and will come into application by the Chinese Academy of Science (CAS) in 2015. This system will let users to interlink their bank accounts or credit cards with
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