Helio is a real-time fraud detection and monitoring solution that analyzes streaming transaction data. It collects data from various sources, processes it using big data technologies, and detects fraud in real-time by scoring transactions and recognizing patterns. Helio provides speed, scalability, ease of use, and integrates disparate data sources to help businesses monitor fraud.

1. Helio
A
Continues Real-Time Fraud Detection and Monitoring Solution

2. Amir Sedighi - 2015 2 /
Speaker Background
● Senior Software Engineer
– BS and MS degrees in Software Engineering
– +20 Years of Programming Experience
● Business Application Development
● Log Management and Forensic
● Big-Data Visualization
● Data Warehouse
● Recommender Systems (http://recommender.ir)
● Analytical Real-Time Search Engines
● Digital Library/Hadoop Integration
● Real-Time Event Processing (http://helio.ir)
● Online Resume
– http://linkedin.com/in/amirsedighi
● Email: sedighi@gmail.com
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3. Amir Sedighi - 2015 3 /
Outline
● How big is the problem?
● Who will be affected?
● Some fraud scenarios
● How Helio works?
● What Helio brings into your business?
● Technical and Operational Advantages
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4. Amir Sedighi - 2015 4 /
How big is the problem?
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5. Amir Sedighi - 2015 5 /
● Its $ 4 Trillion BIG!
● Forrester Research Findings
– $ 4 Trillion in Global Losses pre year
– This amounts to 5% of Global GDP
– Globally, Merchants are paying $200 - $250 Billion in Fraud losses
– Finanial Services losing $ 12 – 15 Billion
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6. Amir Sedighi - 2015 6 / 30

7. Amir Sedighi - 2015 7 /
Who will be affected?
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8. Amir Sedighi - 2015 8 /
Card Transaction Fraud
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9. Amir Sedighi - 2015 9 /
Mobile Banking Fraud
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10. Amir Sedighi - 2015 10 /
Online Banking
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11. Amir Sedighi - 2015 11 /
Who should be worried?
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12. Amir Sedighi - 2015 12 /
Some Fraud Scenarios
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13. Amir Sedighi - 2015 13 /
Some Fraud Scenarios
1) Fake transactions
2) Buy Expensive stuff
3) In Large Quanitities
4) Very quickly
5) At odd hours
6) Ship to many places
7) Provide weird email addresses
8) Trying wrong passwords
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14. Amir Sedighi - 2015 14 /
Scoring
Score
=
itemPrice
*
0.0001
+ itemQuan:ty
*
0.1
+
isFreeEmail
*
2.5
+ highRiskCountry
*
10
+ suspiciousUsername
*
5
+
suspiciousIPRange
*
10
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15. Amir Sedighi - 2015 15 /
How Helio works?
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16. Amir Sedighi - 2015 16 /
Banking Transactions
1) Customer level transaction
2) Bank/PSP leve transaction
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17. Amir Sedighi - 2015 17 /
Data Collection
1) Customer level transaction
2) Bank/PSP leve transaction
3) Streams of data based on
Log, JDBC or REST API Call
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18. Amir Sedighi - 2015 18 /
Big-Data and Data Streaming
1) Customer level transaction
2) Bank/PSP leve transaction
3) Streams of data based on
Log, JDBC or REST API Call
4) Data Streaming
5) Data Processing and Alarms
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19. Amir Sedighi - 2015 19 /
Real-Time Detection
1) Customer level transaction
2) Bank/PSP leve transaction
3) Streams of data based on
Log, JDBC or REST API Call
4) Data Streaming
5) Data Processing and Alarms
6) Insight
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20. Amir Sedighi - 2015 20 /
What Helio brings into your business?
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21. Amir Sedighi - 2015 21 /
Speed!
● Real-Time Fraud Detection
● Real-Time Risk Assesment
● Real-Time Monitoring
● Real-Time Insight
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23. Amir Sedighi - 2015 23 /
Helio, Technical and Operationl Advanages
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24. Amir Sedighi - 2015 24 /
Uniformation and Abstraction
● Unifies data streams and batch data processing
– Running complex queries as joining tabular data and data streams
– Old and new data are the same
● Diferent data stores and technologies are most welcome
– RDBMS, NoSQL, Plain Text...
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25. Amir Sedighi - 2015 25 /
Helio is Elastic!
● Helio is scalable
● Helio is distributed
● Helio lives in the clouds
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26. Amir Sedighi - 2015 26 /
Helio is extreme easy to program and use!
● Helio provides a very high level scripting SQL-like language
● Helio can be programmed utilizing Java and Scala as well
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27. Amir Sedighi - 2015 27 /
Event and Pattern Recognition
● Combining data from multiple, non-homogeneous sources to
recognize events that lead to more complicated status

28. Amir Sedighi - 2015 28 /
Fantastic BI and flexible GUI
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29. Amir Sedighi - 2015 29 /
Refrences
● https://www.forrester.com/
● http://helio.ir
● http://www.slideshare.net/donsquire/presentation-on-fraud-prevention
● http://www.slideshare.net/INSOFE/fraud-detection-15399010
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30. Amir Sedighi - 2015 30 /
Thank You!
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