by

Originally published at customerservant.com. You can comment here or there.

By JOHN MARKOFF
NY Times

www.nytimes.com/2006/02/25/technology/25data.html?pagewanted=print

PALO ALTO, Calif., Feb. 23 – A small group of National Security Agency
officials slipped into Silicon Valley on one of the agency’s periodic
technology shopping expeditions this month.

On the wish list, according to several venture capitalists who met
with the
officials, were an array of technologies that underlie the fierce
debate
over the Bush administration’s anti-terrorist eavesdropping program:
computerized systems that reveal connections between seemingly
innocuous
and unrelated pieces of information.

The tools they were looking for are new, but their application would
fall
under the well-established practice of data mining: using mathematical
and
statistical techniques to scan for hidden relationships in streams of
digital data or large databases.

Supercomputer companies looking for commercial markets have used the
practice for decades. Now intelligence agencies, hardly newcomers to
data
mining, are using new technologies to take the practice to another
level.

But by fundamentally changing the nature of surveillance, high-tech
data
mining raises privacy concerns that are only beginning to be debated
widely. That is because to find illicit activities it is necessary to
turn
loose software sentinels to examine all digital behavior whether it is
innocent or not.

“The theory is that the automated tool that is conducting the search
is not
violating the law,” said Mark D. Rasch, the former head of
computer-crime
investigations for the Justice Department and now the senior vice
president
of Solutionary, a computer security company. But “anytime a tool or a
human
is looking at the content of your communication, it invades your
privacy.”

When asked for comment about the meetings in Silicon Valley, Jane
Hudgins,
a National Security Agency spokeswoman, said, “We have no information
to
provide.”

Data mining is already being used in a diverse array of commercial
applications – whether by credit card companies detecting and stopping
fraud as it happens, or by insurance companies that predict health
risks.
As a result, millions of Americans have become enmeshed in a vast and
growing data web that is constantly being examined by a legion of
Internet-era software snoops.

Technology industry executives and government officials said that the
intelligence agency systems take such techniques further, applying
software
analysis tools now routinely used by law enforcement agencies to
identify
criminal activities and political terrorist organizations that would
otherwise be missed by human eavesdroppers.

One such tool is Analyst’s Notebook, a crime investigation
“spreadsheet”
and visualization tool developed by i2 Inc., a software firm based in
McLean, Va.

The software, which ranges in price from as little as $3,000 for a
sheriff’s department to millions of dollars for a large government
agency
like the Federal Bureau of Investigation, allows investigators to
organize
and view telephone and financial transaction records. It was used in
2001
by Joyce Knowlton, an investigator at the Stillwater State
Correctional
Facility in Minnesota, to detect a prison drug-smuggling ring that
ultimately implicated 30 offenders who were linked to Supreme White
Power,
a gang active in the prison.

Ms. Knowlton began her investigation by importing telephone call
records
into her software and was immediately led to a pattern of calls
between
prisoners and a recent parolee. She overlaid the calling data with
records
of prisoners’ financial accounts, and based on patterns that emerged,
she
began monitoring phone calls of particular inmates. That led her to
coded
messages being exchanged in the calls that revealed that seemingly
innocuous wood blocks were being used to smuggle drugs into the
prison.

“Once we added the money and saw how it was flowing from addresses
that
were connected to phone numbers, it created a very clear picture of
the
smuggling ring,” she said.

Privacy, of course, is hardly an expectation for prisoners. And credit
card
customers and insurance policyholders give up a certain amount of
privacy
to the issuers and carriers. It is the power of such software tools
applied
to broad, covert governmental uses that has led to the deepening
controversy over data mining.

In the wake of 9/11, the potential for mining immense databases of
digital
information gave rise to a program called Total Information Awareness,
developed by Adm. John M. Poindexter, the former national security
adviser,
while he was a program manager at the Defense Advanced Research
Projects
Agency.

Although Congress abruptly canceled the program in October 2003, the
legislation provided a specific exemption for “processing, analysis
and
collaboration tools for counterterrorism foreign intelligence.”

At the time, Admiral Poindexter, who declined to be interviewed for
this
article because he said he had knowledge of current classified
intelligence
activities, argued that his program had achieved a tenfold increase in
the
speed of the searching databases for foreign threats.

While agreeing that data mining has a tremendous power for fighting a
new
kind of warfare, John Arquilla, a professor of defense analysis at the
Naval Postgraduate School in Monterey, Calif., said that intelligence
agencies had missed an opportunity by misapplying the technologies.

“In many respects, we’re fighting the last intelligence war,” Mr.
Arquilla
said. “We have not pursued data mining in the way we should.”

Mr. Arquilla, who was a consultant on Admiral Poindexter’s Total
Information Awareness project, said that the $40 billion spent each
year by
intelligence agencies had failed to exploit the power of data mining
in
correlating information readily available from public sources, like
monitoring Internet chat rooms used by Al Qaeda. Instead, he said, the
government has been investing huge sums in surveillance of phone calls
of
American citizens.

“Checking every phone call ever made is an example of old think,” he
said.

He was alluding to databases maintained at an AT&T data center in
Kansas,
which now contain electronic records of 1.92 trillion telephone calls,
going back decades. The Electronic Frontier Foundation, a
digital-rights
advocacy group, has asserted in a lawsuit that the AT&T Daytona
system, a
giant storehouse of calling records and Internet message routing
information, was the foundation of the N.S.A.’s effort to mine
telephone
records without a warrant.

An AT&T spokeswoman said the company would not comment on the claim,
or
generally on matters of national security or customer privacy.

But the mining of the databases in other law enforcement
investigations is
well established, with documented results. One application of the
database
technology, called Security Call Analysis and Monitoring Platform, or
Scamp, offers access to about nine weeks of calling information. It
currently handles about 70,000 queries a month from fraud and law
enforcement investigators, according to AT&T documents.

A former AT&T official who had detailed knowledge of the call-record
database said the Daytona system takes great care to make certain that
anyone using the database – whether AT&T employee or law enforcement
official with a subpoena – sees only information he or she is
authorized to
see, and that an audit trail keeps track of all users. Such
information is
frequently used to build models of suspects’ social networks.

The official, speaking on condition of anonymity because he was
discussing
sensitive corporate matters, said every telephone call generated a
record:
number called, time of call, duration of call, billing category and
other
details. While the database does not contain such billing data as
names,
addresses and credit card numbers, those records are in a linked
database
that can be tapped by authorized users.

New calls are entered into the database immediately after they end,
the
official said, adding, “I would characterize it as near real time.”

According to a current AT&T employee, whose identity is being withheld
to
avoid jeopardizing his job, the mining of the AT&T databases had a
notable
success in helping investigators find the perpetrators of what was
known as
the Moldovan porn scam.

In 1997 a shadowy group in Moldova, a former Soviet republic, was
tricking
Internet users by enticing them to a pornography Web site that would
download a piece of software that disconnected the computer user from
his
local telephone line and redialed a costly 900 number in Moldova.

While another long-distance carrier simply cut off the entire nation
of
Moldova from its network, AT&T and the Moldovan authorities were able
to
mine the database to track the culprits.

Much of the recent work on data mining has been aimed at even more
sophisticated applications. The National Security Agency has invested
billions in computerized tools for monitoring phone calls around the
world
– not only logging them, but also determining content – and more
recently
in trying to design digital vacuum cleaners to sweep up information
from
the Internet.

Last September, the N.S.A. was granted a patent for a technique that
could
be used to determine the physical location of an Internet address –
another
potential category of data to be mined. The technique, which exploits
the
tiny time delays in the transmission of Internet data, suggests the
agency’s interest in sophisticated surveillance tasks like trying to
determine where a message sent from an Internet address in a cybercafe
might have originated.

An earlier N.S.A. patent, in 1999, focused on a software solution for
generating a list of topics from computer-generated text. Such a
capacity
hints at the ability to extract the content of telephone conversations
automatically. That might permit the agency to mine millions of phone
conversations and then select a handful for human inspection.

As the N.S.A. visit to the Silicon Valley venture capitalists this
month
indicates, the actual development of such technologies often comes
from
private companies.

In 2003, Virage, a Silicon Valley company, began supplying a voice
transcription product that recognized and logged the text of
television
programming for government and commercial customers. Under perfect
conditions, the system could be 95 percent accurate in capturing
spoken
text. Such technology has potential applications in monitoring phone
conversations as well.

And several Silicon Valley executives say one side effect of the 2003
decision to cancel the Total Information Awareness project was that it
killed funds for a research project at the Palo Alto Research Center,
a
subsidiary of Xerox, exploring technologies that could protect privacy
while permitting data mining.

The aim was to allow an intelligence analyst to conduct extensive data
mining without getting access to identifying information about
individuals.
If the results suggested that, for instance, someone might be a
terrorist,
the intelligence agency could seek a court warrant authorizing it to
penetrate the privacy technology and identify the person involved.

With Xerox funds, the Palo Alto researchers are continuing to explore
the
technology.


Respond

Leave a Reply

Write a Comment

Comment

Your email address will not be published. Required fields are marked *