---------- Forwarded message ----------
From: Travis <[email protected]>
Date: Thu, Jan 28, 2016 at 2:53 PM
Subject: Fwd: [grendelreport] Refugee or Terrorist? IBM Thinks Its Software
Has the Answer
To:






It’s only as good as its data (or intel)…if you have good data, you don’t
need IBM.



B

http://www.defenseone.com/technology/2016/01/refugee-or-terrorist-ibm-thinks-its-software-has-answer/125484/
Refugee or Terrorist? IBM Thinks Its Software Has the Answer



A new tool to turn unstructured data into actionable intelligence could
change the way law enforcement fights terrorism, and challenge the
data-collection debate.

*Tools for turning unstructured data into actionable *intelligence are
getting better, and that could alter the risk-reward calculation at the
heart of the data-collection debate.

Take IBM’s i2 Enterprise Insight Analysis, or i2 EIA. IBM purchased i2 EIA
back in 2011 and added in some of the company’s patented cognitive
computing capabilities, the most famous of which is Watson, the AI that beat
Jeopardy champion <https://www.youtube.com/watch?v=WFR3lOm_xhE>
Ken Jennings.

IBM believes the tool could help governments separate real refugees from
imposters, untangle terrorist cells, or even predict bomb attacks.

Last October, as many European countries were straining to make room for
Syrian refugees, other nations were shutting doors, saying that ISIS
attackers might try to blend into the throngs.

“Our worldwide team, some of the folks in Europe, were getting feedback
that there were some concerns that within these asylum-seeking populations
that had been starved and dejected, there were fighting-age males coming
off of boats that looked awfully healthy. Was that a cause for concern in
regard to ISIS and, if so, could this type of solution be helpful?” said
Andrew Borene, strategic initiatives executive at IBM.

IBM hoped to show that the i2 EIA could separate the sheep from the wolves:
that is, the masses of harmless asylum-seekers from the few who might be
connected to jihadism or who were simply lying about their identities.

“Could we look at a quick background of ISIS leadership based off of
existing knowledge stores using unstructured data analytics? Could we
identify people who were potentially traveling under false identities or
passports? Which identities might they be using? If someone was a sleeper
that we came across, would they be building a new legend [or alias]?… How
would they be getting those passports?” said Borene.

IBM created a hypothetical scenario, bringing together several data sources
to match against a fictional list of passport-carrying refugees. Perhaps
the most important dataset was a list of names of casualties from the
conflict gleaned from open press reports and other sources. Some of the
material came from the Dark Web, data related to the black market for
passports; IBM says that they anonymized or obscured personally
identifiable information in this set. Another data set was made up, but
modeled on the kind of metadata currently available to border guards.

The results depended on who was asking what from the data. Borene said the
system could provide a score to indicate the likelihood that a hypothetical
asylum seeker was who they said they were, and do it fast enough to be
useful to a border guard or policeman walking a beat.

Borene was careful to indicate that the hypothetical score was not an
absolute indicator of guilt or innocence.

“It’s like a credit score. A credit score is a wonderful piece of data. But
it’s a *piece* of data. For big financial decisions, in addition to looking
a score… someone with a high credit score can still be high risk. Someone
with a mediocre credit score can be a safer bet,” he said.

At a higher level, back at headquarters, an analyst with a dedicated
terminal could use the system to immediately see a wide web of possible
connections or intersections about a particular subject, potentially
revealing places, institutions, other people or targets to which they might
be connected. The scrubbed-down Dark Web data was particularly useful here.

“We could come up with a list with this level of granular detail: Here’s
the person; here’s the address they were associated with; here are the
countries where they were suggesting they could get artificial documents
from,” said Borene.

It’s the sort of capability that could feature in a Hollywood
techno-thriller. Consider Person of Interest
<http://www.cbs.com/shows/person_of_interest/>, a hit television show about
a massive government-funded data analysis engine that can, in the hands of
a scrappy team of vigilantes, anticipate who will be involved in a crime,
but not exactly how. With the right data, the i2 EIA platform takes that
fictional capability one step further.

Say you’re an analyst, and one of the data sources that you pull is
municipal parking tickets. You find that one of the suspicious persons that
you are looking at received several parking tickets in front of a popular
concert venue, then that someone else has also gotten tickets at the same
place but at different times. Does this indicate a team working in shifts?

That type of small detail might elude a room full of detectives. If you had
to manually enter all the information into a single database, the process
could take days or weeks. Says IBM, i2 EIA makes it instantaneous.

Let’s now say that the data shows that parking violator A and parking
violator B also both follow a popular DJ on Twitter, a musician playing at
the venue next month. Now you have not only the identity of a potential
accomplice but the date and location of a targeted strike. The system can
also alert analysts as new events of interests occur and new connections
are made, as new people who follow that DJ also get strange parking
tickets, try to buy passports from the same vendor, etc.

Another scenario that Borene’s group ran as part of the demonstration
involved a hypothetical bomb at a train station,detonated by an SMS text.
Using made-up but realistic SMS and phone metadata for a typical urban
area, an analyst opened a map, drew a circle around the area, and—using on
the exact moment of detonation — discovered the number of the phone that
had sent the text. Searching on that number immediately brought more phone
numbers, addresses of potentially connected individuals, social security
numbers, all related to the original number.

“From a variety of sources comes a single baseball card showing all the
information,”  Borene said.
Software Design Predicts Life … And Controversy

IBM finished building the demonstration in October, just before ISIS-affiliated
attackers killed 130 people in Paris and injured hundreds more. One of the
attackers was carrying a false passport
<http://www.nytimes.com/live/paris-attacks-live-updates/syrian-passport-reportedly-was-stolen-or-fake/>,
according to Agence France-Presse. German interior minister Thomas de
Maiziere speculated that the attacker may have carried the passport
deliberately to turn public sympathy against refugees.

If that was the plan, it worked. In the U.S., presidential contenders
<http://www.japantimes.co.jp/news/2015/11/16/world/politics-diplomacy-world/gop-hopefuls-rubio-carson-cruz-say-u-s-must-bar-syrian-refugees/#.VqfohHv_R1Y>,
led by Sen. Ted Cruz, R-Texas, along with governors in more than 30 states
<http://www.npr.org/2015/11/17/456336432/more-governors-oppose-u-s-resettlement-of-syrian-refugees>,
called for a moratorium on the resettlement of Syrian war refugees.

The reactions were seen by as many as extreme. As *Defense One* has reported
<http://www.defenseone.com/politics/2015/10/how-fear-slammed-americas-door-syrian-refugees/122618/>,
the United Nations High Commissioner for Refugees, or UNHCR, conducts a
variety of screening tests to ensure that refugees are who they say they
are. The Department of Homeland Security likewise conducts screening on
refugees headed into the United States.

But the threat isn’t entirely manufactured, at least, not by political
opportunists. Recent reports indicate
<http://abcnews.go.com/International/isis-fake-passport-industry-official/story?id=36505984>
that ISIS has developed an “industrial” ability to produce false passports.
Platforms like i2 EIA could potentially strengthen screening processes and
reassure the public about the identities of those seeking to enter the
country, while at the same time depriving some ambitious officeseekers of a
fearful talking point.

But that doesn’t mean that such capabilities won’t come without risk
or controversy.

IBM representatives pointed out that the i2 EIA doesn’t collect
intelligence; it just helps ingest and make sense of unstructured data.
They aren’t spies or agents or operatives, just engineers.

But the more data i2 EIA gets, the more helpful it becomes. And that could
put pressure on lawmakers and others to keep feeding new, and potentially
sensitive, data streams to the beast.

Consider the debate over the U.S. government’s collection of the public’s
bulk telephony metadata. The NSA’s program that officially expired
<http://www.theguardian.com/us-news/2015/nov/28/nsa-bulk-metadata-collection-expires-usa-freedom-act>
in November, but now telephone companies must  collect the metadata
themselves and give it to the government under certain conditions. Many
defenders of the old program maintained that it was an essential tool
against terrorism. The National Academy of Sciences publication Bulk
Collection of Signals Intelligence: Technical Options
<http://www.dni.gov/index.php/newsroom/press-releases/210-press-releases-2015/1161-national-academy-of-sciences-releases-ppd-28-report-bulk-collection-of-signals-intelligence-technical-options>
enshrines this view clearly: “There is no software technique that will
fully substitute for bulk collection where it is relied on to answer
queries about the past after new targets become known.”

Yet defenders of the government’s program couldn’t connect the practice of
bulk metadata collection to clear public safety outcomes, at least not in a
way that many members of Congress, the president, or the public
found convincing.

That may not have been a reflection of the data so much as a poverty of
tools to analyze it correctly.

Bottom line: the tools are improving quickly, and that could alter
calculations as the public and its leaders debate future
data-collection policies





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