Analyzing GDPR Compliance Through the Lens of Privacy Policy - - PowerPoint PPT Presentation

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Analyzing GDPR Compliance Through the Lens of Privacy Policy - - PowerPoint PPT Presentation

Analyzing GDPR Compliance Through the Lens of Privacy Policy Jayashree Mohan , Melissa Wasserman, Vijay Chidambaram General Data Protection Regulation (GDPR) Respect the rights of data owner Personal Gathered legally, Protect it from Data


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Analyzing GDPR Compliance Through the Lens of Privacy Policy

Jayashree Mohan, Melissa Wasserman, Vijay Chidambaram

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General Data Protection Regulation (GDPR)

Personal Data Gathered legally, for a purpose Protect it from misuse/exploitation Respect the rights of data owner Non-compliance can result in hefty fines and penalties

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2019 : The year of enforcement!

Taxa 4x35 ($180 K) March 2019

No timely deletion

Google ($55 million) Jan 2019

Lack of explicit consent and transparency

Mariott ($124 million) July 2019

Poor data security

British Airways ($230 million) July 2019

Poor data security

Haga Hospital($550 K) July 2019

Lax controls over logging and access

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2019 : The year of enforcement!

Taxa 4x35 ($180 K) March 2019

No timely deletion

Google ($55 million) Jan 2019

Lack of explicit consent and transparency

Mariott ($124 million) July 2019

Poor data security

British Airways ($230 million) July 2019

Poor data security

Haga Hospital($550 K) July 2019

Lax controls over logging and access

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Transparency

Google ($55 million) Jan 2019

Lack of explicit consent and transparency

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What GDPR Requirements did Google fail to meet?

Transparency

GDPR Article 12 The The controller sha hall take appropriate measures to provide any information… re relat lating to

  • proce

rocessing to

  • the dat

ata a subject ct in a a con conci cise, , tran ranspare arent, , intelli lligible le an and ea easily a acces essible f e form, u using ng c clea ear a and p plain l language. e.

“L “Lack of transparency, inadequate information and lack of valid consent re regard rding a ads p pers rson

  • nali

lization

  • n”

Clear and Concise Privacy Policy

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Privacy Policy

Data Processor/ Controller Users/ Customers Ask consent and establish user rights via privacy policy

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Privacy Policy

Long Use jargons Difficult to comprehend How can users consent to their personal-data use if they cannot read/understand privacy policies?

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  • 1. What are the key information any GDPR compliant system

should provide to its user in a straight-forward way?

  • 2. Identifying GDPR dark patterns : Case study of privacy

policy of 10 popular cloud services

  • 3. A systems perspective on solving GDPR dark patterns

Main takeaways

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SLIDE 10
  • 1. What are the key information any GDPR compliant system

should provide to its user in a straight-forward way?

  • 2. Identifying GDPR dark patterns : Case study of privacy

policy of 10 popular cloud services

  • 3. A systems perspective on solving GDPR dark patterns

Main takeaways

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Outline

  • GDPR-compliant privacy policy
  • Case study of privacy policy of 10 cloud services
  • GDPR dark patterns
  • Future directions
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Outline

  • GDPR-compliant privacy policy
  • Case study
  • GDPR dark patterns
  • Future directions
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GDPR Compliant Privacy Policy

WHO uses the collected data

Processing Entities : The source of data, and the entities with whom data is shared.

1

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GDPR Compliant Privacy Policy

WHO uses the collected data WHAT personally identifiable data is collected

Data categories: Attributes of personally identifiable information collected

1 2

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GDPR Compliant Privacy Policy

WHO uses the collected data WHAT personally identifiable data is collected WHY is the data being collected

Purpose: The legal basis for collection and processing of each data category

1 2 3

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GDPR Compliant Privacy Policy

WHO uses the collected data WHAT personally identifiable data is collected WHY is the data being collected WHEN will the collected data expire and be deleted

Retention: The policy or period of retention for each data category

1 2 3 4

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GDPR Compliant Privacy Policy

WHO uses the collected data WHAT personally identifiable data is collected WHY is the data being collected WHEN will the collected data expire and be deleted HOW can a user exercise control over his/her data

User controls: How can users access/enforce their rights over data

1 2 3 4 5

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GDPR Compliant Privacy Policy

WHO uses the collected data WHAT personally identifiable data is collected WHY is the data being collected WHEN will the collected data expire and be deleted HOW can a user exercise control over his/her data DOES the controller ensure safety of user data

Data Protection: Measures taken to ensure safety and protection of user data

1 2 3 4 5 6

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GDPR Compliant Privacy Policy

WHO uses the collected data WHAT personally identifiable data is collected WHY is the data being collected WHEN will the collected data expire and be deleted HOW can a user exercise control over his/her data DOES the controller ensure safety of user data DOES the controller appropriately notify users of changes in policy

Policy updates: Notify users appropriately of changes to privacy policy and ask consent

1 2 3 4 5 6 7

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GDPR Compliant Privacy Policy

WHO uses the collected data WHAT personally identifiable data is collected WHY is the data being collected WHEN will the collected data expire and be deleted HOW can a user exercise control over his/her data DOES the controller ensure safety of user data DOES the controller appropriately notify users of changes in policy 1 2 3 4 5 6 7

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Outline

  • GDPR-compliant privacy policy
  • Case study
  • GDPR dark patterns
  • Future directions
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Bloomberg Onavo Instagram Uber edx Snapchat icloud Whatsapp Flybe Metro bank Data Purpose Processing Retention Controls Updates Protection

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Outline

  • GDPR-compliant privacy policy
  • Case study
  • GDPR dark patterns
  • Future directions
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GDPR Dark Patterns

Oftentimes we simply click ‘I agree’. What are we signing up for ?

  • 4 common dark-patterns in cloud service
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One checkbox to access all services

“U “Uber may continue to process your information notwiths hstanding the he

  • bjection to the extent permitted under GD

GDPR”

Uber’s Privacy Policy No fine-grained control over personal data

“D “Deleting user information does not apply to "hi historical activity logs or arch archive ves unle less an and until l these log logs an and dat ata a nat aturally rally ag age-of

  • ff ”

edx’s Privacy Policy Deactivate account to object to processing any piece of collected info

  • 1. User rights : All or Nothing
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  • 2. Purpose bundling

Ads Services

“Go Google’s consent flow doesn’t comply with the GD GDPR according to the CNIL.

  • L. By default, Go

Google really pushes you to sign in or sign up to a Go Google accou

  • account. The com

compan any tells lls you

  • u that

at you

  • ur

r exp xperi rience ce will ll be wors

  • rse if you
  • u

don’t have a Go Google account. According to the CNIL, L, Go Google should se separate the actio ion of creatin ing an account from the actio ion of se settin ing up a de device — consent bundling is illegal under the GD GDPR.”

Google was fined $55 Million for a similar charge

  • No option to opt of specific services
  • All the processing is bundled into one

consent box Instagram:

“Our Service Providers will be given access to your information as is re reas ason

  • nab

ably ly necessary to provide the Service under re reas ason

  • nab

able le confidentiality terms”

Affliates

Promotions

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  • Notify users of changes in privacy

policy by appropriate means

  • Ask for consent to the modified

policy

  • Show users the new additions to

privacy policy instead of asking them to accept the new terms by reading the entire policy document

”Label the Privacy Policy as "Revised (date)[...]. By accessing the Site after any changes have been made, you accept the modified Privacy Policy and any changes contained therein"

Edx, Bloomberg

  • 3. Notifications
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Many services including Uber and Onavo state nothing about data protection strategies used ( encryption ) or international transfer policies Highest GDPR fine so far was levied on British Airways for negligent data protection

“P “People’s personal data is just tha hat – pe

  • personal. Wh

When an

  • rg
  • rgan

anisat ation

  • n fa

fails to protect it fr from loss, da damage or theft ft it is mo more than an inconvenience. That’s ’s wh why the law w is clear – wh when you are entrusted wi with personal data you mu must look af after r it. Thos

  • se that

at don

  • n’t will

ll face ace scru crutiny from rom my of

  • ffice

ce to

  • ch

check ck they have ave take aken ap approp ropri riat ate steps to

  • prot

rotect ct fun fundamental privacy rights.”

UK Information Commissioner on BA fine :

  • 4. Data Protection
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Outline

  • GDPR-compliant privacy policy
  • Case study
  • GDPR dark patterns
  • Future directions
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Is it enough if companies get their privacy policy right? Are users able to enforce their rights that the privacy policy claims to provide?

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Enable users a hassle-free control over their personal data

GDPR-compliant systems Simple, straight-forward privacy policies

Write clear, concise privacy policies Tools to parse and identify GDPR compliance and user rights from a privacy policy Understand how GDPR affects the design and

  • peration of Internet companies

[Seven GDPR Sins : HotCloud’19]

Translate these to the need for infrastructural changes

[Impact of GDPR on Storage Systems: HotStorage’19] [Polisis: Security’18]

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Security & Privacy Access Control Policy Systems

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Thanks

https://utsaslab.github.io/research/gdpr/

More works on analyzing GDPR from a systems perspective