DATA MINING AND TERRORISM
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DATA MINING AND TERRORISM. Margaret H. Dunham CSE Department Southern Methodist University Dallas, Texas 75275 [email protected] 11/5/05 This material is based upon work supported by the National Science Foundation under Grant No. 9820841.

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DATA MINING AND TERRORISM

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Data mining and terrorism

DATA MINING AND TERRORISM

Margaret H. Dunham

CSE Department

Southern Methodist University

Dallas, Texas 75275

[email protected]

11/5/05

This material is based upon work supported by the National Science Foundation under Grant No. 9820841

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Data mining and terrorism

Data Mining Introductory and Advanced Topics, by Margaret H. Dunham, Prentice Hall, 2003.

DILBERT reprinted by permission of United Feature Syndicate, Inc.

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Objective

OBJECTIVE

Explore the use of data mining techniques in identifying terrorists and criminals.

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Data mining

Data Mining

  • Finding hidden information in a database

  • Fit data to a model

  • Similar terms

    • Exploratory data analysis

    • Data driven discovery

    • Deductive learning

    • Knowledge Discovery in Databases

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Problems

PROBLEMS

  • Not well defined

  • Not enough historical data

  • Algorithms not well suited

http://www.fbi.gov/congress/congress02/thomas030102.htm

Select name

From

Where job =

Emp

“Programmer”

???

“Terrorist”

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Data mining and terrorism

FBI

FBI Strategic Focus

http://edition.cnn.com/TRANSCRIPTS/0205/29/se.01.html

“Substantially enhance analytical capabilities with personnel and technology”

“Expand use of data mining, financial record analysis, and communications analysis to combat terrorism”

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Data mining and terrorism

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But it isn t magic

But it isn’t Magic

  • You must know what you are looking for

  • You must know how to look for you

Suppose you knew that a specific cave had gold:

  • What would you look for?

  • How would you look for it?

  • Might need an expert miner

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Data mining and terrorism

Dallas Morning News

October 7, 2005

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Data mining and terrorism

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http://ieeexplore.ieee.org/iel5/6/32236/01502526.pdf?tp=&arnumber=1502526&isnumber=32236


Big brother

BIG BROTHER ?

  • Total Information Awareness

    • http://infowar.net/tia/www.darpa.mil/iao/index.htm

    • http://www.govtech.net/magazine/story.php?id=45918

    • http://ouray.cudenver.edu/~ejswenso/ethics/tia/display.php/display.php?id=0

    • http://www.frontpagemagazine.com/Articles/ReadArticle.asp?ID=13053

    • http://en.wikipedia.org/wiki/Information_Awareness_Office

  • Terror Watch List

    • http://www.washingtontimes.com/national/20040222-122717-6118r.htm

    • http://www.businessweek.com/technology/content/may2005/tc20050511_8047_tc_210.htm

    • http://www.gao.gov/new.items/d03322.pdf

    • http://www.theregister.co.uk/2004/08/19/senator_on_terror_watch/

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Data mining and terrorism

Description

Behavior

Associations

“If it looks like a terrorist, walks like a terrorist, and quacks like a terrorist, then it’s a terrorist.”

“If it looks like a duck, walks like a duck, and quacks like a duck, then it’s a duck.”

Classification Clustering Link Analysis

(Profiling) (Similarity)

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Data mining and terrorism

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For a terrorist similarity with what distance from what

For a Terrorist, Similarity with What??? Distance from What???

  • Typically distance from a representative of that class.

  • A known terrorist?

  • TSA

    • http://www.theregister.co.uk/2004/04/26/airport_security_failures/

    • http://www.heritage.org/Research/HomelandDefense/BG1683.cfm

    • http://www.theregister.co.uk/2004/07/16/homeland_capps_scrapped/

    • http://en.wikipedia.org/wiki/CAPPS

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Data mining and terrorism

“Proof” that Bin Laden was involved in 9/11

  • http://www.ccmep.org/2003_articles/Iraq/020703_powell_offers_proof_of_saddam.htm

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Data mining and terrorism

Jialun Qin, Jennifer J. Xu, Daning Hu, Marc Sageman and Hsinchun Chen, “Analyzing Terrorist Networks: A Case Study of the Global Salafi Jihad Network”  Lecture Notes in Computer Science, Publisher: Springer-Verlag GmbH, Volume 3495 / 2005 , p. 287.

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Data mining and terrorism

Thank You

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