big data og personvern - tekna · telenor big data og personvern oslo 7. sep, 2017 tekna arturo...
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telenor
Big data og personvernOslo 7. Sep, 2017Tekna
Arturo Opsetmoen AmadorData Scientist, Telenor Business
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Telenor leverages big data analytics across many areas
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Network
deployment
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Customer
service
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Security
monitoring
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Meeting customer
needs
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Big data for social
good
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From great coverage to big data insights
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• 2.3 million people moving across Norway in a period of 12 hours
• 1.5 TB of signaling data in a snapshot
• Telenor empowering Norwegiansociety through big datainnovation
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Tourism Traffic monitoring
Public transportation Public health
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Big data analytics for public health
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AmphetamineMeasured the mobility behaviour of people in Oslo
Correlated population dynamics with drug consumption measurements
Discovered the best time of the year to run anti-drug campaigns
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Effect on the mobility in Oslo after the diesel ban
42750,5 42751 42751,5 42752 42752,5 42753 42753,5 42754 42754,5
Flow through unbanned roads
total_subsFlow evolution
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Effect on the mobility in Oslo after the diesel ban
-1%
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2%
3%
4%
5%
6%
17 01 04.48 17 01 07.12 17 01 09.36 17 01 12.00 17 01 14.24 17 01 16.48 17 01 19.12
Serie1Percentual delta evolution
% change in flow through unbanned roads (6 am - 6pm)
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Telenor discovering foreign tourists at Finse
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Germany
Switzerland
Netherlands
Sweden
From signaling data: measure a train arriving to Finse33,850 foreign travelers from 53 countries during February’17
Discovered the top nationalities of foreign travelers
Discovered preferences on time of travel of foreign passengers
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UKGermanyRussia
SpainPolandLithuania
NetherlandsSwitzerlandLatvia
Top foreigner nationalities
United Kingdom: 3079Germany: 1907Lithuania: 807Russian Federation: 1009Spain: 717Poland: 563Estonia: 310Netherlands: 540 Latvia: 274Switzerland: 674
France: 342 United States: 259Italy: 337Finland: 257Austria: 179Bulgaria: 98Belgium: 196Czech Republic: 131Romania: 88China: 133
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We collaborate across and learn from the best
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Privacy
SecurityIT Tech
Research
Business
Internal collaboration External collaboration
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Art. 6 GDPR: Lawfulness of processing
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Privacy Framework
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• In-memory hashing of identifiers
• Sensitive, raw network data never
stored
• Hash-value is recycled every «24»
hours reduce risk of inference based
on trip data
• Data is aggregated up to a
significant level of people (e.g. 20)
• All locations with less than this
level are removed
• Estimation from # active subscribers to
# people (based on market share,
observation length, etc.)
• Users only granted access to
extrapolated data
I. Masking (Pseudonymization) II. Aggregation (Anonymization) III. Prediction (Extrapolation)
«Privacy by Design»
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Privacy Framework
13 https://www.telenor.no/om/teknologi-norge/stordata-samfunnet.jsp