[SIG-IDtheft] IDTheft attacks by US Zip codes...--INFO about webcast today, Aug. 1, at 11 am PT, by ID Analytics

[Britta Glade]

Exactly my thoughts!  I'm sure the webcast this afternoon will go into some
more details. Sadly I have a conflict so can't be on, but would love a
report from someone who is able to attend.

On 8/1/07, Robin Wilton <Robin.Wilton at sun.com> wrote:
>
> Fascinating. In the 'real world' those places are practically
> what you would find if you looked up "remote" in the dictionary...
> In the online world that doesn't really matter a hoot.
>
> I'd be interested to know what element of the ID fraud lifecycle
> is linked to those places: is it the home of the victim, the
> claimed address of the perpetrator, or the actual location of
> the perpetrator...?
>
> Anyone seen the full report?
>
> R
>
> Britta Glade wrote:
>
>  *New Research from ID Analytics Shows Where in the U.S. Identity Fraud is
> Most Rapidly Increasing*
>
> *Update to Previously Announced Data Study Reveals Most Rapid Growth in
> Illinois, Montana and North Dakota*
>
> SAN DIEGO, Aug. 1 /PRNewswire/ -- ID Analytics, Inc., the leader in
> Identity Risk Management, today announced the results of new analytical
> research on U.S. identity fraud by geography. The research, which is based
> on actual and attempted frauds rather than on consumer victim reports,
> examined data from January through December 2006 to determine where identity
> fraud is most rapidly increasing.
>
> When examined at the five-digit ZIP Code level, the U.S. identity fraud
> "hot spots" where criminal activity is rising the fastest include the cities
> of Springfield, Illinois; Bozeman, Montana and Missoula, Montana. The U.S.
>
>
> counties that emerged as hot spots in the last year, based on analysis at
> the three-digit ZIP Code level, include 13 counties in North Dakota and
> seven counties in Montana. The research also showed that in general identity
> fraud rates are increasing in the upper Midwest, Northern California, Utah,
> Nevada and Maine. Identity fraud rates appear to be decreasing in the
> Southern U.S. and staying consistent in such areas as Southern California,
> the Mexican border of Texas and in cities like Seattle, Washington and
> Portland, Oregon.
>
> "These findings may seem surprising because none of these emerging hot
> spots are high population density areas, and some are even rural," said
> Stephen Coggeshall, ID Analytics' chief technology officer and the author of
> the research. "Our methodology allowed us to compare fraud rates across
> areas with differing populations to see where fraud is rising most quickly
> on a per capita basis. While identity fraud rates remain high in many large
> metropolitan areas like New York, Los Angeles and Detroit, we are seeing
> substantial emergence of these crimes in more rural areas like Montana and
> South Dakota. This may indicate a trend toward popularization of this crime,
> as well as point out that perpetrators are discovering that they can act
> under the radar in these remote rural areas."
>
> By analyzing data from its ID Network(R), the nation's only cross-industry
> identity network, ID Analytics is able to gain a quantitative understanding
> of the nature of identity fraud. The ID Network comprises three billion
> identity elements-including names, addresses, Social Security numbers and
> phone numbers-which are contributed in real-time, by organizations spanning
> multiple industries, for the sole purpose of preventing identity fraud.
>
> Sophisticated analytics applied against data in the ID Network enable ID
> Analytics to examine how identities behave across organizations. Further
> statistical analysis enables ID Analytics to determine where identity fraud
> is most common.
>
> The ten cities and their respective ZIP Codes where identity fraud
> increased most rapidly during 2006 are:
>
> 1. Springfield, IL (62707)
>
> 2. Bozeman, MT (59715 and 59718)
>
> 3. Missoula, MT (59804, 59803 and 59808)
>
> 4. Whitefish, MT (59937)
>
> 5. Lolo, MT (59847)
>
> 6. Bismarck, ND (58504)
>
> 7. Hamilton, MT (59840)
>
> 8. Bigfork, MT (59911)
>
> 9. Grand Forks, ND (58201)
> 10. Fargo, ND (58104)
>
>
> The counties that most strongly emerged as identity fraud hot spots in the
> last year are:
>
> 1. Divide, McKenzie and Williams counties, ND (588XX ZIP)
>
> 2. Adams, Billings, Bowman, Dunn, Golden Valley, Hettinger, McKenzie,
>
> Morton, Slope and Stark counties, ND (586XX ZIP)
>
> 3. Granite, Lake, Missoula, Mineral, Powell, Ravalli and Sanders
>
> counties, MT (598XX ZIP)
>
>
>
> Methodology
>
>
>
> These findings are not based on consumer victim reports but rather on
> actual and attempted frauds confirmed by businesses. The methodology factors
> in adjustments for population by analyzing the data on a per capita basis to
> account for differences in population. Fraud rates were calculated based on
> the total number of reported identity frauds divided by the number of
> applications using data drawn from the ID Network. As a result, what is
> being reported is the rate of increase in frauds rather than the absolute
> number of fraud cases. Applications in this analysis were submitted to
> credit grantors from January through December 2006. To determine which areas
> are exhibiting the most rapid increase in identity fraud, the study compared
> the fraud rates in the second half of 2006 to the first half, looking for
> areas where fraud rates were rising substantially during 2006.
>
> The addresses on the applications may belong to the victims of the
> identity fraud if the perpetrator were to use the complete and accurate
> identity information of the victim. However, based on prior research into
> the nature of "true-name identity theft" and "synthetic identity fraud," ID
> Analytics scientists believe the majority of the addresses are associated
> with the perpetrators of the fraud using synthetic identities comprising
> real and false identity elements. The research showed that identity theft
> victimizing an actual consumer (true-name identity theft) accounts for 10 to
> 15 percent of all identity fraud. Identity fraud using identities fabricated
> from real and false data (synthetic identity fraud) accounts for 85 to 90
> percent of all identity fraud. While the applications include real addresses
> for the purposes of verification and receipt of credit cards and goods, the
> addresses may be residences, places of work or any other physical location
> where fraudsters can conveniently receive the tools and plunder of their
> trade.
>
> Webinar and White Paper on Findings
>
> Today at 11:00 am PDT / 2:00 pm EDT, Dr. Stephen Coggeshall will present
> these findings in a free, one-hour webinar. To register, go to
> *http://www.idanalytics.com/hotspots/*<http://www.idanalytics.com/hotspots/>.
> A white paper with more detailed findings on the research can be obtained
> upon request by emailing marketinginfo at idanalytics.com .
>
> About ID Analytics, Inc.
>
> ID Analytics, the leader in Identity Risk Management, owns and operates
> the ID Network(R), the nation's only cross-industry identity network. ID
> Analytics' clients, which are also ID Network Members, span the financial
> services, telecommunications, e-commerce, healthcare, utility, retail,
> government, and consumer sectors. With an exclusive focus on stopping
> identity fraud, ID Analytics has built proprietary pattern recognition
> technology within the ID Network to find suspicious behavior patterns across
> multiple organizations and industries. As a result, ID Network Members lead
> their industries in preventing identity fraud, protecting consumers, and
> improving the consumer experience.
>
>
> --
> Britta Glade
> Liberty Alliance
> 925-254-4233
>
> ------------------------------
>
> _______________________________________________
> This is a public mailing list.  Content is NOT confidential.
>
> Sig-idtheft mailing listSig-idtheft at lists.projectliberty.orghttp://lists.projectliberty.org/mailman/listinfo/sig-idtheft
>
>


-- 
Britta Glade
Liberty Alliance
925-254-4233
-------------- next part --------------
An HTML attachment was scrubbed...
URL: http://lists.projectliberty.org/pipermail/sig-idtheft/attachments/20070801/8b1623dd/attachment-0001.html