Digital Hyper-transparency

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Internet Service Providers (all kinds of web interactions). Social networks (online profiles and relationships). The State (tax payment, travel records, etc.).
Missing:
The 5th International Conference on eDemocracy & eGovernment

Digital Hyper-transparency: Leading E-government Against Privacy Ana Rodríguez-Hoyos1,2, José Estrada-Jiménez1,2, Luis Urquiza-Aguiar1, Javier Parra-Arnau3 & Jordi.1 1Electronics,

Telecommunications & Network Dept. Escuela Politécnica Nacional (EPN), Quito, Ecuador 2Network

Engineering Dept. Universitat Politècnica de Catalunya (UPC), Barcelona, Spain 3Department

of Computer Engineering and Mathematics Universitat Rovira i Virgili,Tarragona, Catalonia.

*[email protected]

Ambato, Ecuador April 2017

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Outline

I.

Introduction

II.

Digital Hyper-transparency in Ecuador

III.

Jeopardazing Privacy

IV.

Privacy protection strategies

V.

Conclusions

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Introduction: Big Data and Privacy

 Currently, there are several entities that concentrate big

data, e.g.,  Internet Service Providers (all kinds of web interactions)  Social networks (online profiles and relationships)  The State (tax payment, travel records, etc.) Clearly, those big data includes personal information  Privacy concerns arise due to

 Indiscriminate collection  Opaque operation  Poor data handling practices

Rodriguez, Estrada, Urquiza, Parra & Forne

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EPN, UPC, URV

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Introduction: Transparency at the State  Transparency is an increasing trend in democratic States

 It encourages control through open access to public information  What is the role of the State?

 the State holds information about all the population  the information collected is very faithful linked directly to individuals  data collection, processing and publication are:  enabled BY LAW  accessible through e-gov applications

 Privacy risks are commonly ignored

A neglected implementation of transparency and e-gov may cause almost unlimited access to large amounts of information, a side effect we call hyper-

transparency  We explore these privacy risks in Ecuador Rodriguez, Estrada, Urquiza, Parra & Forne

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Hyper-Transparency in Ecuador By LAW  In Ecuador, transparency is a democratic principle defined

by law  open access to public information is guaranteed

 “all the data emerged or held by public institutions”  at least 15 items of information have to be published

online monthly  both about institutions and employees (~600K in Ecuador)  confidential data is not really excluded

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Hyper-Transparency in Ecuador By LAW  Granularity of transparency is not defined in the law  Very detailed data is published

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Hyper-Transparency in Ecuador By E-government  A culture of digitization has taken over the public sector in

Ecuador  In many cases also motivated by the law  Simple but useful services are being offered

 appointment scheduling,  electronic certificates,  payment platforms,  but mainly information.

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Hyper-Transparency in Ecuador: E-gov Traffic Fines – ANT http://sistemaunico.ant.gob.ec:6033/PortalWEB/paginas/cl ientes/clp_criterio_consulta.jsp Phone Service Bill – CNT http://www.andinatel.com/atphpplanillaagrupado/formulari o.php Phone Book – CNT http://micnt.com.ec/cntapp/guia104/php/guia_cntat.php Education History – SENESCYT http://www.senescyt.gob.ec/consulta-titulosweb/faces/vista/consulta/consulta.xhtml Job – Ministerio de Trabajo http://dependenciasectorpublico.trabajo.gob.ec/Dependen ciaLaboralSectorPublico/index.xhtml

Demographic Data - Social Registry http://www.registrosocial.gob.ec/Publico/Frame.jsf Housing Taxes - City Council http://consultas.quito.gob.ec/ Income Taxes – Internal Revenue Service SRI

https://declaraciones.sri.gob.ec/sri-enlinea/#/SriDeclaracionesWeb/ConsultaImpuestoRenta/Con sultas/consultaImpuestoRenta Rodriguez, Estrada, Urquiza, Parra & Forne

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Traffic Fines - ANT

 http://sistemaunico.ant.gob.ec:6033/PortalWEB/pagina

s/clientes/clp_criterio_consulta.jsp

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Phone Service Bill - CNT

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Phone Book - CNT

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Education History – Senescyt

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Job – Ministerio de trabajo

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Demographic Data – Social Registry

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Housing Taxes – City Council

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Income Taxes – Internal Revenue Service SRI

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Jeopardazing Privacy

Some attributes disclosed in the name of transparency  National identity numbers

 Criminal history

 Full names

 Education level

 Unique identifiers

 Shares in companies

 Revenue

 Work place

 Salary

 Marital status

 Address

 Disability condition

 Amount of properties  Age  Movement patterns Rodriguez, Estrada, Urquiza, Parra & Forne

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Jeopardazing Privacy  Personal microdata is massively and deliberately

published  identifiers (identity numbers, full name)  quasi-identifiers (marital status, address)

 confidential attributes (salary, judicial data, disability condition)

 Personal information is released even when not mandated by law  universities  ministries  public service companies

 Third-parties could aggregate this personal information through a centralized interface

Rodriguez, Estrada, Urquiza, Parra & Forne

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Jeopardazing Privacy Privacy risks  Identification attacks  through identifiers, citizens can be immediately singled out  identifiers link all the rest of attributes, including sensitive ones  most of the public interfaces can be queried by identifier  Classification attacks  privacy attackers could catalogue individuals based on their attributes  personal information could be used to detect outliers  e.g., criminals could use income information to identify prime targets for robbery  other problems may involve discrimination and blackmail  Surveillance  ongoing observation of “movements” is possible due to very detailed information  privacy risk is higher for public employees exposed, e.g., police officers

 The privacy risk is massive because millions of citizens are involved

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Jeopardazing Privacy

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Privacy Protection Strategies  To minimize the open disclosure of personal data  Data suppression – not releasing certain values  identifiers  sensitive attributes  reduce the number of quasi-identifiers  Data generalization - using less specific values  e.g., salary by position instead of by employee  more general categories (e.g., 198X, instead of 1983 for the birth year)  Access control – focusing the access to personal info  much of the information published has sense only for the owner  by authentication  Informing who access to personal data  Chance to opt out

 A legal framework for privacy protection to modulate the

legitimate right to public info Rodriguez, Estrada, Urquiza, Parra & Forne

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Conclusions

 Transparency and e-government are means to massify

democracy.  They are built on information (huge amounts of personal) data)  Yet, they are subject to mismanagement and manipulation.  May lead to hyper-transparency and thus serious privacy risks  Very granular personal data  Directly published online under de mandate of the law  Undefined potential privacy attackers  Legal and practical guidelines to protect personal data may help to balance the tradeoff transparency-privacy

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Yes, but the State is also some of US

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What about

transparency must end when the privacy of others begin

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Thanks for your attention 25

while (questions = True){ if (now) Please ask if (later) Send an email to: [email protected] } Escuela Politécnica Nacional Departamento de Electrónica, Telecomunicaciones y Redes de Información

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