By Richard Arneson
Come on, admit it, when you’re trying to access a website and you get the I am not a robot CAPTCHA screen with the nine (9) stacked images, your heart drops a notch or twenty (20)—especially if you’re on your smart phone, each image is the size of a pencil eraser and you’ve misplaced your reading glasses. Is that a palm tree or a street light? And why did they hide it behind that stupid tree? It’s never a welcome site and Google, which offers its CAPTCHA service for free, has made proving you’re not a robot tougher. Hopefully, this news comes as relief if you’re getting stumped more frequently and are questioning your problem-solving skills.
Google, what gives? Just let me in the website
Remember the good ‘ole days when proving you weren’t a robot meant deciphering a few slightly swirled letters? But, do you also remember how the letters got more and more swirly, until determining the ones listed became a serious challenge?
The puzzle evolved because character recognition programs evolved, as well. They got better, and we’re all to blame. After years of correctly typing in letters, we helped train the recognition programs. By becoming more difficult, the puzzles became more annoying. New and different robot identification was needed, and Google found it in CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart), which they bought from Carnegie Mellon in 2009.
We can thank this big brain for making CAPTCHA more difficult
In 2016, a University of Illinois computer science professor named Jason Polakis published a paper in which he detailed how, by using off-the-shelf image recognition programs, he was able to solve CAPTCHA puzzles with seventy percent (70%) accuracy. Apparently, his paper made its way to Google. Soon after the publishing of the Polakis paper, CAPTCHA images became smaller, fuzzier and obscured by shrubs. Thanks, Jason, now I can’t read last night’s box score on my favorite website. His paper inspired other researchers, who began solving the CAPTCHA audio version with Google’s own audio recognition program.
According to Polakis, “We’re at a point where making it harder for software ends up making it too hard for many people. We need some alternative, but there’s not a concrete plan yet.”
Failed attempts to supplant CAPTCHA
A lot of brainpower has attempted to replace CATCHA, but apparently nobody as “brilliant” as Polakis has tackled the issue. One (1) attempt involved asking users to determine facial expressions, ethnicity or gender. No, that wouldn’t result controversy.
Another big brain proposed trivia based on nursery rhymes—perfect, unless you want users to resent their parents for not reading to them at bedtime. Another CAPTCHA replacement still required picture identification, but in animated form. So, when the user is asked to identify, say, a camel, it will probably be dressed in a tux and smoking a cigarette.
reCAPTCHA v3—a very judgmental next version
Google’s CAPTCHA team has been working on reCAPTCHA v3, which the company introduced in late 2018. It uses adaptive risk analysis, which essentially scores traffic based on how suspicious it seems. They first determine what “good traffic” looks like, then uses that data to help detect the bad type. A website that has deemed a user unsavory, seedy or sketchy can present them with a challenge, such as a password request or two-factor authentication. Sounds pretty standard, right? That is, unless the website determines you’re a pillar of the digital community. You’ll soon be ushered in with the red carpet treatment.
Google hasn’t made it aware what “good traffic” looks like, which makes many wonder how traffic will be judged if a VPN or any anti-tracking extensions are being used.
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