Browse Prior Art Database

Idenitity safty indecaton within a browser or plug in.

IP.com Disclosure Number: IPCOM000168178D
Original Publication Date: 2008-Feb-29
Included in the Prior Art Database: 2008-Feb-29
Document File: 4 page(s) / 26K

Publishing Venue

IBM

Abstract

Identification Safty Indecation

This text was extracted from a PDF file.
This is the abbreviated version, containing approximately 50% of the total text.

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Idenitity safty indecaton within a browser or plug in .

Today identity theft is a big deal and is one of the primary concerns of credit cart companies and folks that provide information over the internet. The cost to credit card companies is huge. But today by the time they detect fraudulent charges on a credit card, the perpetrators likely have gotten many more card number and are charging to them as well.

    Many consumers are weary too. They are often nervous when they provide personal information to an entity they are not that familiar with, which can and does cost companies that do business over the web much more than is lost by fraudulent charges.

     A need exist for a mechanism to alert the user to the fact a website appears to pose no risk to the consumer, or that a website appears to be suspicious.

    This invention is a plug-in provided by the credit card companies, or even the browser in conjunction with the credit card companies to track information provided to a website. The invention then checks to see if a credit card has been opened using the same information provided to the website. Using this information the browser or plug-in can display statics that will alert the user if there appears to be a high correlation of credit cards being opened using at least some of the information provided to this site.

    If the stats of the given site are above average (and the user does not expect an account to be opened as a result of providing this information) the use knows to be wary.

    This invention tracks information provided to websites sends it to the credit card companies computers. Over time the database contains many records of information provided to websites.

    The credit card company also knows about accounts that were recently opened. It compares the information provided to the websites against to records of recently open accounts and updates the website's stats. In addition the algorithm would take into account how many other websites the information was given to. A simply algorithm to compile these stats is at the end of this disclosure.

    Using this sample alg, when the user visits a website they can press a button on the browser or tool bar and se the stats. A sample report may appear as follows:

Number of credit cards opened using the same information provided to www.websiteinquestion.com is below average. Therefore the risk of identity theft from www.websiteinquestion.com appears to be LOW.

40 users provided private information to www.websiteinquestion.com

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Within the last 90 days, 30 of the 40 users who provide this information to only this website. 1 out of these 30 opened a credit card since providing this information. Within the past 90 days 8 of the 40 users provided this information to this website and 1 to 4 other sites: 0 out of these 8 users opened a credit card since providing this information. Within the past 90 days 2 of the 40 users provided this information...