DOCUMENT FRAUD DETECTION AT THE BORDER · 4 2013-08-19 Workshop on Innovation in Border Control...
Transcript of DOCUMENT FRAUD DETECTION AT THE BORDER · 4 2013-08-19 Workshop on Innovation in Border Control...
2013-08-19
PRELIMINARY OBSERVATIONS ON HUMAN AND MACHINE
PERFORMANCE
Monica Gariup, Gustav Soederlind
Workshop on Innovation in Border Control (WIBC 2013) - 14 August 2013
DOCUMENT FRAUD DETECTION
AT THE BORDER
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1. Research Context: Frontex,
Risks and IDCHECK2012
2. State of the Art, Background
Questions, and Research
Rationale
3. Document Challenge
Exercise: Approach and
Methodology
4. Observations and Lessons
Learned
5. Future Activities
Contents
1. Who are we and why do we
care
2. Why this research?
3. What did we do?
4. What did we learn?
5. What will we do next?
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1. Research Context: Frontex, Risks and
IDCHECK2012
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The European Agency for the Management of the Operational Cooperation at the External Borders of the Member States of the EU (EU Council Regulation (EC) No 2007/2004 of 26 October 2004)
Mission: ”Intelligence driven operational cooperation at EU level to
strengthen security at external borders”
Tasks: carry out risk analyses; coordinate operational cooperation;
o joint operations o support with technical and operational assistance
assist EU Member States with training their Border Guards (Common Core Curriculum);
Contribute to, follow up and disseminate to COMM and MS developments in research relevant for the control and surveillance of external borders.
What Frontex does not do: does not execute border control/surveillance itself does not cover customs’ area of responsibility (focus on movement of persons
only)
FRONTEX
Changes
- Lisbon Treaty and crime prevention;
- new regulation and enlarged mandate (own
equipments; limited processing of personal info)
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• 4,300,000 km2 (1,660,000 mi2)
• Covering a population of 400 MLN
•800 MLN border crossings per year
• 50,000 km of sea borders (30,000
miles)
• 10,000 km of land borders (6,000
miles)
• 1,782 official BCPs (POEs)
• 665 air
• 871 sea
• 246 land
COMMON EXTERNAL BORDERS +
INTERNAL FREEDOM OF MOVEMENT
2013:
CROATIA
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● Sophistication of document falsification/counterfeiting;
● New techniques to circumvent biometric checks;
● Use of genuine documents by imposters (impersonation, stolen
identities);
● The abuse of genuine supporting documents to obtain genuine travel
documents (abuse of legal channels and fraudulently obtained
documents);
● The abuse of supporting documents to justify purpose of stay;
● Number of detected document fraudsters increasingly under-
represents the overall extent of the phenomenon;
● Fraud expected mostly among EU travel documents (TRUSTED?
MINIMUM CHECK)
Document Fraud as high priority issue (ARA2012)
??
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● risk of less effective border control due to more reliance on
technological equipment (triggered by reduced resources and
increased passenger flows)
● decrease in the importance of human interventions that may increase
the risk that a new modus operandi passes undetected and reduces
the possibility to collect human intelligence.
Technology and Human Factor as Potential
Risks(ARA2012)
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● Capacity Building Division - Research and Development Unit
◊ Long-term Objective:
Improve the capacity for detection of document and identity
fraud and to improve tactical/operational risk assessment in
the FIRST LINE of border control
◊ Areas of Research Activities – Document Fraud (focus on forged/counterfeit documents)
– Identity Fraud (focus on Impostors, fraudulently acquired genuine
documents)
– Risk Assessment (focus on interviewing, behavioral and credibility
assessment)
IDCHECK 2012 Project
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2. State of the Art, Background Questions,
and Research Rationale
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1. KNOWN KNOWN: How many/what types of fraudulent documents are detected
at our border crossing points?
– European Document Fraud Project: collection and statistical analysis of
data on detected fraudulent documents (circa 22k detections per year)
2. KNOWN UNKNOWN: How many/what types of fraudulent documents are
NOT detected at our border crossing points and WHY? (WHAT ARE WE
MISSING AND WHY for a comprehensive situational picture)
BACKGROUND QUESTIONS Why do we need to improve detection capabilities
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EDF
• What is the meaning of numbers? How big is the iceberg?
• WHAT AFFECTS THE DETECTION RATE? Total detection rate as a function of a) capabilities’ performance in the first line (human; technology/equipments);
b) time available for check;
c) total fraudulent docs in circulation (constant – unknown);
d) total no. of documents/persons passing through BCP
Risk definition (what causes the risk) has an IMPACT on the
identification of the COUNTERMEASURE !! (see example above)
THE DETECTION CHALLENGE
2008 2009 2010 Jan/Aug 2011
Forgeries 249 182 238 143
Alterations 510 228 261 167
Blank stolen
docs 28 15 9 16
Impostors 94 87 46 31
Other 7 1 8 6
Total 888 513 562 363
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Document Inspection as only one component of
the border check task
10 seconds
per
passenger? What triggers
detection?
Officer +
equipment
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USE CASES STRENGTHS WEAKNESSES 1
HUMAN ONLY Manual by border control officers without the use of technical support
Physical (including booklet and stamps)
No optical No electronic No databases No biometrics
2
HUMAN - MACHINE Manual by border control officers with the support of computers, optical readers, and watch-lists
Physical Optical Databases
No electronic No biometric
3 HUMAN- MACHINE ++ Manual by border control officers with the support of computers, optical readers, checks against watchlists, and infrastructure for reading electronic passports
Physical Optical Electronic Databases Biometrics possible
4
MACHINE ONLY Fully automated gates for document authentication and biometric verification
Optical Electronic Databases Biometrics Speed
No physical (smell, touch and feel)
DOCUMENT INSPECTION CAPABILITIES USE CASES
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Problem of FUNCTION ALLOCATION
in the border check decision-making process:
● How do we decide what tasks people should perform, and what tasks
machines should perform in a HYBRID human-machine SECURITY system?
● How to distribute functionalities if you don’t know error rate – performance
- limitations (of the HUMAN) – Human Error Probability (HEP) and False
Acceptance Rate (FAR)?
● What affects the performance of the border guards (physiological -
psychological)?
● How can human and machine cooperate in an efficient way?
◊ Issue of trust and confidence in the machine (over-reliance/ mistrust):
How to insure that the human is in full control of the decision he/she
needs to take?
◊ Human motivation
● How do you train the border guard (the HUMAN) for the new tasks?
(attention, cognition, workload, decision-making)
● How to mitigate the new (and old) RISKS introduced in the process? (attempts
to defeat the machine/the human)
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3. Document Challenge Exercise: Approach
and Methodology
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● AIM:
◊ To collect preliminary observations
◊ To initiate a fact-based discussion on the performance of document
inspection capabilities deployed in the first line of border control
● APPROACH:
◊ Action Research (Learning by doing)
◊ Maintain empirical (evidence-driven) and critical analytical approach
◊ End-user driven
◊ Develop synergies with other areas of Frontex operations
Document Challenge Exercise 2012
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● How (method) and how well (performance) human experts verify
document authenticity (physical and optical) under time constraint and
without significant technical help;
● How (method) and how well (performance) automated document
inspection systems (also here referred to as “machines”) verify
document authenticity (physical and optical) under time constraints;
● Whether machines significantly outperform human experts;
● What type of errors do humans and machines make;
● What weaknesses/vulnerabilities are intrinsic to human and machine
document verification taken in isolation and how these vulnerabilities
can be mitigated in the future.
Simulation of document inspection in the first
line to better understand:
NB: Artificial decoupling from identity verification, profiling ... !!!!
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● Designed and conducted in cooperation with ◊ UK National Document Fraud Unit,
◊ NL Royal Mareechaussee Border Security Training Centre
◊ Frontex Training Unit
● One day exercise back-to-back with Frontex Document Specialist Board
meeting: 28 June 2012, Amsterdam Schiphol
● Participants ◊ 26 document experts from 24 EU MS
◊ 104 genuine and forged/counterfeited (global) Passports collected from MS
participants
◊ 10 document inspection systems providers (answered to public call/all
accepted)
Document Challenge Exercise 2012
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◊ 26 document experts from 24 EU MS members of Frontex Document
Specialists Board (info on education, experience etc. collected)
◊ 19 genuine and 85 real forged/counterfeited (global: 62 EU) Passports
supplied by MS participants: total 104 documents
◊ 10 document inspection systems providers (answered to public call/all
accepted) (technical specifications + info on education, experience of operator etc.
collected)
Document Challenge Exercise I – Participants
Company Name, Model, Version of Equipment used
Equipment (level of automation of database of reference document comparison)
Securitech B5000 Passport Reader Fully automated e.g. RED/GREEN diode type
Keesing Reference Systems Keesing ID Authentiscan +ARH PRMc 233 RL
Combination of B,C,D
Foster & Freeman VSC-QC1 Manual comparison of document against reference document from database
Grabba S-8472b-sig-wsq No database available ID Scan Biometrics IDSCAN BORDER Fully automated e.g. RED/GREEN diode type Inspect & Detect ARH PRMC 143 RPLE Fully automated e.g. RED/GREEN diode type
Bundesdruckerei VISOTEC EXPERT 600 + VISOCORE INSPECT
Fully automated e.g. RED/GREEN diode type
Regula Regula Model 7034.111 Fully automated e.g. RED/GREEN diode type AU10TIX 3M AT9000 + Laptop Fully automated e.g. RED/GREEN diode type TrustID 3M AT9000 + Veriscan Software Combination of B,D
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Exercise for Document Experts
-15 seconds per
document
- self-collection of
information
(genuine/not, forgery,
confidence level)
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Exercise for Document Readers -15 seconds per
document
- self-collection of
information
(genuine/not, forgery,
detection point,
confidence level)
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4. Observations and Lessons Learned
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● Used mainly magnifier, rarely UV
● Time constraint as challenge
● Majority did not check booklet
● Bias against genuine (genuine docs
suspected as false) – probably
because of second line experience?
● Easy to detect: ◊ Watermarks were missing or poorly
simulated;
◊ Inkjet had been used for the background,
sometimes quite poorly;
◊ Tactile features were missing;
◊ Evidence of manipulation was “obvious”
by looking at it, e.g. the outline of the
new/old image was visible.
Human Machine
High proportion of BG/Police
operators
What part of the result is
from the machine, what is
from operator experience ?
Time constraint as a challenge
Software reboots
Multiple menu actions
required
Stops at event, e.g. date.
(cascade)
Hardware, Software, Template
Databases, Operator
Observations and surprises
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Experience
Experts Industry
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Correct Wrong Blank
First Line Experience
No First Line Experience
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First Line Experience
No First Line Experience
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Document Experts
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100
120
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26
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cum
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Experts
Blank
Wrong
Correct
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Inspection Systems
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Experts versus Machines
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Document Experts
Industry Participants
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● Little time available for planning (event was initially conceived as a
demo)
● Lack of control on choice of participants , documents, time etc.
● Self-made collection of information because of lack of time/resources:
reliability?
● Results in NO WAY representative OR statistically relevant
● ……
Weaknesses
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● Elaborate a formal metrics to evaluate performance (false
acceptance/false rejection) and establish objective methods to
rigorously collect all available data (example time needed, accuracy
etc.);
● Involve a bigger number of first-line border control officers and
thoroughly survey their background/skills/performance;
● Test the equipment and record results without the intervention of
industry/expert operators;
● Compare the results with a full forensic analysis of the documents under
examination;
● More genuine documents need to be included in the exercise to better
reflect a more realistic ratio of genuine to false documents which is
more in line with what first line officers would experience in real life.
Lessons learned for the future
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● Demonstrate to the border control end-users how document readers/verification
equipments currently in the market work (including usability, performance, etc.);
● Gather preliminary information and hands-on observations on inspection systems and
human performance;
● Raise the awareness of the border control end-users of the importance (and
complexity) of the tasks (in particular here document inspection) officers in the first
line are called to perform;
● Offer industry an occasion to
◊ present their products in a “speed-dating” type of presentation rounds to an audience of
experts;
◊ test their products in a fast-paced simulated operational setting;
◊ better understand the functional/operational needs of the first line of border checks;
◊ and finally interact/discuss with border control end-users.
Achievements of the Exercise
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● IDCHECK2013 End-Users Advisory Board (EU MS) identified the area
of testing document inspection systems and study the human
factor as a priority
● Experts identified the need of :
◊ European survey over what equipment is in use, capabilities,
databases etc.
◊ Research on/Technical tests of document inspection capabilities
◊ Research on operational use of document inspection capabilities
(e.g. red/green issues and human factor)
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● Lisbon (second half of September)
● Call for industry participation open until 19 August
● Document experts from MS participating in Frontex coordinated Joint
Operation (first line officers) + Document experts (second/third line)
● In cooperation with
◊ PT SEF
◊ UK National Document Fraud Unit
◊ NL Royal Mareechaussee
◊ DE Forensic Science Institute (Bundeskriminalamt)
● http://www.frontex.europa.eu/news/document-challenge-ii-invitation-
to-document-inspection-system-hardware-manufacturers-F9MRgU
Document Challenge II
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Monica Gariup Research & Development Unit ****************************** Frontex Rondo ONZ 1, 00-124 Warsaw, Poland Tel: +48 22 205 96 19 Fax: +48 22 205 95 01 [email protected]
Thank you for your attention!