Consumer Payments Market Space

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Consumer Payments Market Space

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Payments eCash payments deployed by major banks on 4 continents ... zoom in on eCash blinding. Privacy and Control. over Payments ... – PowerPoint PPT presentation

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Title: Consumer Payments Market Space


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Privacy Technology
Analysis and Mechanisms
David Chaum
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Privacy is fundamentallyimportant!!!
  • Is essential for democracy
  • Needed for participation without fear of
    retribution
  • Is a fundamental human right

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OUTLINE
  • Analysis
  • Policy
  • Economic
  • Solution Mechanisms
  • Legal
  • Technological
  • Privacy Technology

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Policy Analysis
  • The actors and macro considerations

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Hierarchy of IT Needs of Humans
  • Self-Worthrelation to artificial
    intelligence, etc.
  • Privacyidentity, credential role protection
  • Interactioncommunication, exploration, commerce
  • Securityuptime, robustness, no hacking
  • Processingstorage, interface, crunching

Maslows Hierarchy of Needs
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Policy Issues
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Economic Analysis
  • These days,
  • everybodys an economist!

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Monetizing privacy
  • Various schemes proposed (even 20 years ago)
  • Consumers pay for privacy protection services
  • Consumers are paid for use of their
    privacy-related data
  • A brokerage of privacy related data

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Imbalance in desire for privacy/data
  • Individuals discount present value of privacy
    protection in transactions
  • Explains anomalous behavior of consumers when
    confronted with cost or inconvenience
  • Practices and potential dangers unknown
  • Organizations value personal data
  • Overestimate future potential of data
  • Discount exposure to organization
  • An organization not too concerned about dangers
    posed to consumers that it is not accountable for

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Imbalance in size/power of entities
  • Organizations have lots of leverage
  • Their are few sources of mass products and
    services
  • Consumers dont have much choice for many
    products or services
  • High relative cost of change of practices for
    consumers

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Legal mechanisms
  • Powerful but dont work well directly

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Legal mechanismsevolution
  • Originally based on codifying legitimate
    expectation of privacy
  • People should be able to review and amend data
  • No erosion of privacy due to technology
  • Best privacy protection practical

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Legal mechanismscapabilities
  • Accountability after the fact is ineffective
  • Hardly able to address
  • Covert/clandestine abuse
  • Abuse of public or leaked data
  • Corporate shield
  • Undoing damage done to people
  • Can cause creation and use of infrastructure

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Technological Mechanisms
  • The directly-effective mechanism

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Locus of privacy-related controlThe critical
architectural choice
Organization x
infomediary
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Locus of controlThree choices
  • At organizations
  • Weak benefit/effect for consumers
  • Clandestine abuse, leaks, reversibility
  • Mollify/diffuse the issue prevent effective
    solutions
  • At an intermediary
  • Create infrastructure with single point of
    failure
  • Full cost but little true benefit
  • Dangerous concentration
  • At the individual
  • Privacy technology the only good solution

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Old paradigmassumptions/model proven false!
  • Believed to be a zero-sum game, privacy v.
    security
  • ID believed needed for security against abuse by
    individuals
  • ID believed only way to organize data

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Old Paradigm
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New paradigm
  • Individuals provide organizations with minimum
    sufficient information and proof of its
    correctness

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Privacy Technology
  • Win-Win break of the believed tradeoff

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New Paradigm
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Feasibility of a comprehensive solution set has
been proven
  • PaymentseCash payments deployed by major banks
    on 4 continents
  • CommunicationMix nets, onion routing, etc. have
    been widely deployed
  • Credentialsmechanisms implemented on cards and
    by IBM

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Benefits to organizations (micro)
  • Reduced exposure/liability
  • Better data
  • Cleaner because less deception and garbage
  • More willingness to provide data because of
    protections
  • All organizations get the data level playing
    field
  • Better public image (?) probably wrong!

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Not easy to get there from here
  • Requires lots of users (hard to be anonymous
    alone!)
  • Difficult to get the system primed
  • Consumers dont want to pay costs
  • Organizations tend to resist change

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Really an infrastructure issue
  • Pseudonymity / Anonymity only in numbers (as
    mentioned)
  • Communication infrastructure can nullify
    protections
  • Way to share data pseudonymously is infrastructure

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CONCLUSION
  • A Privacy Technology infrastructure is the way
    to go and would be hugely beneficial

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Kinds of Privacy for Payments
Organization-controlled privacy
Consumer- controlled privacy
No privacy
False privacy
Protection only from merchant
credit cards on the Internet
eCash
Buy/reload card without identification
Advertise consumer privacy
stored-value cards
technology / time
pre-paid phone cards
Government payments, e.g.
transfer-order systems
bank notes coins
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Consumer Payments Market Space
scheduledpayments
irregularpayments
high value
low value
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Electronic Cash
  • You can buy a digital bearer instrument from a
    bank with funds in your account
  • You can pay by giving the instrument to the
    payee, who deposits to an account

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zoom in on eCash blinding
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Privacy and Control over Payments
  • Nobody can learn without your cooperation who you
    pay, how much you pay, or when
  • You can always prove who received any payment,
    for how much, and when
  • Payments can only be made by you and they cannot
    be stopped by others

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Credential Mechanisms
  • You deal with each organization under a distinct
    digital pseudonyma public key whose
    corresponding private key only you know
  • You obtain a credential as a digital signature
    formed on one of your digital pseudonyms
  • You answer the queries you choose to by proving
    you have sufficient credentials

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Wallet with Observer
  • A tamper-resistant chip, issued by a trusted
    authority, is carried by the individual
  • But the chip can only talk to the outside world
    through the persons PC/PDA
  • The two devices perform a multiparty computation
    and thus speak to the outside world with a common
    voice

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How untraceable-sending works
Mix network
The mix sever decrypts and re-orders inputs
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Prevents tracing messages back
message 2
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Cascade of three Mixes
PK3
PK1
PK2
Server 3
Server 2
Server 1
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Encryption of message
PK3
PK1
PK2
message
Ciphertext EPK1EPK2EPK3message
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Processing the messages
Server 1
Server 2
Server 3
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Tracing prevented by any mix
Server 1
Server 3
Server 2
m3
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IAO
  • The Information Awareness Office (IAO) develops
    and demonstrates information technologies and
    systems to counter asymmetric threats by
    achieving total information awareness useful for
    preemption, national security warning and
    national security decision-making. John
    Poindexter, national security adviser to former
    President Reagan, is the director of the new
    agency. He was a controversial figure both for
    his role in the Iran-contra scandals and for his
    efforts to assert military influence over
    commercial computer security technologies. NSDD
    145 Data Mining.
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