1Copyright © 2014 Tata Consultancy Services Limited
Future Tense of Data Privacy
‘Civilization is the progress toward a society of privacy. The savage's whole existence is public, ruled by the laws of his tribe. Civilization is the process of setting man free from men.’
- Ayn Rand
Dr Sachin LodhaPrincipal ScientistTCS Innovation Labs – Pune, India
2Copyright © 2014 Tata Consultancy Services Limited
Innovation at TCS
Dr Sachin LodhaPrincipal ScientistTCS Innovation Labs – Pune, India
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TCS Innovation Labs
TCS Innovation Labs - Bangalore
Bangalore, India1
TCS Innovation Labs - Chennai
TCS Innovation Labs - Web 2.0
TCS Innovation Labs - Insurance
TCS Innovation Labs - Retail
TCS Innovation Labs - Telecom
TCS Innovation Labs - Travel & Hospitality
Chennai, India2
TCS Innovation Labs - Cincinnati
Cincinnati,
USA 8
TCS Innovation Labs - Delhi
Delhi, India3
TCS Innovation Labs - Hyderabad
Hyderabad, India4
TCS Innovation Labs - Kolkata
Kolkata, India5
Mumbai, India6
TCS Innovation Labs - Mumbai
TCS Innovation Labs - Performance Engineering
Peterborough, UK9
TCS Innovation Labs - Peterborough
Pune, India7
TCS Innovation Labs - TRDDC - Process Engineering
TCS Innovation Labs - TRDDC - Software Engineering
TCS Innovation Labs - TRDDC - Systems Research
TCS Innovation Labs - Banking and Financial Services
TCS Innovation Labs - Engineering & Industrial Services
1 2
3
4
76
5
Delhi
Hyderabad
Kolkata
Pune
Mumbai
Bangalore Chennai
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Areas of Research
Applied Algorithms Machine Learning
Integrated
Computational
Materials
Engineering
Nano-Bio
Technology
Infrastructure
ManagementWeb 2.0 Services
Security &
Privacy
Multi modal sensing
Wireless
systems & mobile
applications
Green
Technologies
Natural Language
ProcessingMachine Learning
and Data FusionComputational
Biology
Quantitative
Finance
Next Generation
Infrastructure
Software
Models & SaaS
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Ecosystem of innovative partners
encompassing:
Academic Institutions
Start up companies
Venture Funds & Multi-lateral
organizations
Strategic Alliance partners
Tata Group companies,
TCS customers
COIN™ is a rich and diverse network that drives innovation in an open
community:
TCS Innovation
LabsStartups
Customers
Research Institutions
AcademicInstitutions
Student Community
VentureCapitalists
EntrepreneursIn Residence
Alliance Partners
Consultants
Industry BodiesTATAGroup
Co-Innovation Network :: (COIN)TM
7Copyright © 2014 Tata Consultancy Services Limited
Future Tense of Data Privacy
‘Civilization is the progress toward a society of privacy. The savage's whole existence is public, ruled by the laws of his tribe. Civilization is the process of setting man free from men.’
- Ayn Rand
Dr Sachin LodhaPrincipal ScientistTCS Innovation Labs – Pune, India
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The Grand Goal of Privacy
Data that is both contextually useful as well as forever privacy preserving
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Private Data Release: The Current Practice
Scrub the data by removing Personally Identifying Information (PII)
PII is information that can be used on its own or with other information to identify,
contact, or locate a single person, or to identify an individual in context
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Major Hurdles for p-Transformation of an Enterprise
Heterogeneity of Data
Heterogeneity of Deployment Environments
Heterogeneity of Usage
Heterogeneity of Regulatory Environments
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Design Considerations
Minimal Intrusion
Zero Latency
Unaffected Ux
Policy Externalization
Platform Agnosticism
Loose Coupling
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Helpdesk BPS Access
To archiveTester
Browser
Console
Masking
Jar
Production
Support
DB
Console
Log
Console
Service
Console
Data
Masker
De
sk
top
Se
rve
rD
ata
ba
se
TCS Enterprise Privacy Suite
Research Papers
PatentFilings
30+ 20+
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Tuple to Table transformation of an Individual
In the Era of Internet of Things
PII.PII..PII...PII....
• Attacker learns sensitive data by joining two datasets on common attributes.
• Publicly available individual data is growing rapidly as newer data sets are becoming available, thanks to Social, Mobile, Cloud and IoT
PII is a moving target
• Every household / individual will be a SME generating GBs worth data per day
Data about an individual is exploding vertically
15Source: www.winlab.rutgers.edu/~gruteser/papers/fp023-roufPS.pdf
Example I: Smart Energy Meters
Accurate billing
Tailored energy efficiency advice – based on
accurate data specific to your home
Understand how much appliances are costing you
and check if things are working properly
More control over how much energy you’re using
16Source: www.winlab.rutgers.edu/~gruteser/papers/fp023-roufPS.pdf
Example I: Smart Energy Meters
Activity at home is known
Could indicate your pattern of living and what you are doing in your own
home
Bad guy knows when you're not at home and burgles your house, or
worse, he knows when only one old woman is at home and breaks in
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Finding Your Location by Day
Example II: Location Sensing
Source: https://www.aclu.org/technology-and-liberty/meet-jack-or-what-government-could-do-all-location-data
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Vehicle Trip Overlay Over a Year
Example II: Location Sensing
Source: https://www.aclu.org/technology-and-liberty/meet-jack-or-what-government-could-do-all-location-data
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Your Visit to a Particular Address
Example II: Location Sensing
Source: https://www.aclu.org/technology-and-liberty/meet-jack-or-what-government-could-do-all-location-data
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Example II: Location Sensing
Top 10 Places Where You Spend Time
Source: https://www.aclu.org/technology-and-liberty/meet-jack-or-what-government-could-do-all-location-data
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Discovering Your Social Graph
Example II: Location Sensing
Source: https://www.aclu.org/technology-and-liberty/meet-jack-or-what-government-could-do-all-location-data
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Implications
Behavioral privacy is under unprecedented threat
Original picture from: http://thedailydose.com, Aug 16, 2011
with IoT
Report by The Pew Research Center Internet Project and Elon University's Imagining the
Internet Center having opinions from 1,600+ experts reads:
“Increased data from connected things will cause privacy concerns to come to the
forefront and encourage the growth of profiling and targeting people, which will greatly
inflame conflicts in various arenas.”
Privacy: a major hurdle for the realization of IoT
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People are aware and they do care !
“The age effect is even stronger in Australia, however the trend remains the
same: young people are more, not less, likely to have taken action to protect
the privacy of their personal information on social networking sites.”
Source: http://www.oxfordmartin.ox.ac.uk/downloads/A%20New%20Privacy%20Paradox%20April%202014.pdf
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Ideas to Realize the Grand Goal of Privacy
Evolution of Privacy: from Syntactic to Semantic
• In design of incentives and reward schemes for participants
• To optimize data flows, deployments, operations and risk envelope
Infonomics
• Homomorphic encryptions for absolutely private computations that can provide exact answers, albeit current methods are too slow
• Differential privacy for privacy preserving efficient computations that provide approximate answers
Private Computation
• Sample ‘data’ globally
• Build ‘models’ centrally
• Run ‘apps’ locally
‘Microcosm’ic Deployment
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