Captchas: Computer Tests Can Defeat Spam
Ingenious computer tests may also advance machine vision and AI.
Computerworld - On the Internet, nobody knows you're a dog. Or a rogue robot program stealthily gathering personal information from chat rooms or registering for thousands of free e-mail accounts from which to blast out spam.
One way to stymie such bots is to use a captcha. Short for "completely automatic public Turing test to tell computers and humans apart," a captcha is a program that can generate and grade tests that are easy for humans to solve but very difficult for computers to crack.
Examples include words that have been precisely distorted by computers, images overlaid with other images or audio clips with background noise.
By including a captcha as part of the registration process for a free e-mail account, for instance, it would be relatively easy to establish whether the registrant is a human or a robot program.
"The human visual system and all of our experience in reading makes it possible to read images of text which computer vision systems at their best cannot do reliably," explains Henry Baird, a principal scientist at Palo Alto Research Center Inc. (PARC) in California.
The concept of using programs like captchas to deal with bots and spam on the Internet has been around since 1997. A team of researchers at what was then Digital Equipment Corp. was working on a way to deal with bots that were trying to influence the way certain sites were ranked on the company's AltaVista search engine. Researchers at the company developed and patented a character-recognition test that was used during the AltaVista registration process to weed out automated programs.
In September 2000, Pittsburgh-based Carnegie Mellon University's computer science department started developing similar programs in response to a request from Yahoo Inc.
Like AltaVista, Yahoo was grappling with rogue programs that were invading its chat rooms and illegally marketing products, stealing personal information and spamming users. "The idea was to create a computer program that could distinguish bots from humans. The program would have to serve as a sentry, but it couldn't itself pass the very test it gives," says Manuel Blum, a professor of computer science at Carnegie Mellon.
The result was Gimpy, a captcha containing seven words chosen at random from a dictionary of 850 words and then distorted and overlaid with clutter via software. Passing the test required identifying at least three of the distorted words correctly.
A simpler one-word version of Gimpy, called E-Z Gimpy, is currently used by Yahoo on its Web site to weed out humans from bots during the registration process.
Meanwhile, researchers at the University of Hong Kong are working on a captcha that overlays audio clutter on top of a voice reading out random numbers and letters.
- Five Steps to Achieve Success in your Application Security Program This white paper provides a general framework your organization can use to create or build upon an application security program. It includes guidelines...
- Unlock the Value of Enterprise Mobility Download this guide and learn how to manage the secure deployment of enterprise mobile apps and data, while still encouraging the levels of...
- Rebranded Quadmark revamps its IT solutions with Google Apps Switching to Google Apps halved Quadmark's IT admin costs while achieving 10% time savings per employee. The global consulting firm now spends 80%...
- Manufacturing Outlook: Improving time to market, operational effectiveness and innovation in a highly competitive environment An enterprise project portfolio management solution can help manufacturers position themselves in the new competitive landscape.
- Live Webcast
Transforming Finance, Procurement and Supply Chain Effectiveness with Cross-Functional Analytics
Date: May 6th, 2014
Time: 1 PM EDT
Attend this Webcast to find out how Oracle's packaged analytic applications enable line-of-business managers to examine all...
- Video Stream Quality Impacts Viewer Behavior This scientific white paper, using statistical data from Amakai's streaming network, analyzes how changes in video quality cause changes in viewer behavior.
- Service-Enabling CICS Applications: Best Practices This informative webcast provides an informed, thorough look into CICS service-enablement options and how they can affect your environment. You'll learn how to... All Applications White Papers | Webcasts