Privacy, Law, and Engineering & Smartphones Public Policy - - PowerPoint PPT Presentation

privacy law and
SMART_READER_LITE
LIVE PREVIEW

Privacy, Law, and Engineering & Smartphones Public Policy - - PowerPoint PPT Presentation

CyLab Privacy, Law, and Engineering & Smartphones Public Policy Rebecca Balebako, PhD Candidate y & c S a e v c i u r P r Advisor: Dr. Lorrie Cranor i t e y l b L a a s b U o b r a a t L o y r C y U


slide-1
SLIDE 1

1

C y L a b U s a b l e P r i v a c y & S e c u r i t y L a b

  • r

a t

  • r

y H T T P : / / C U P S . C S . C M U . E D U

Engineering & Public Policy

CyLab

Privacy, Law, and Smartphones

Rebecca Balebako, PhD Candidate Advisor: Dr. Lorrie Cranor

slide-2
SLIDE 2

2

Privacy and Security Concerns

Smartphone Public Policy Privacy and Security

slide-3
SLIDE 3

3

Smartphones

  • Increasingly popular
  • Smartphones are different that personal

computers:

– Sensors – Always on – Immature – Smaller screens

slide-4
SLIDE 4

4

Information on smartphones

slide-5
SLIDE 5

5

Evaluating smartphone interfaces

slide-6
SLIDE 6

6

California Attorney General

slide-7
SLIDE 7

7

App Developers Should…

  • Data checklist for PII
  • Avoid or limit PII
  • Develop a privacy policy
  • Limit data collection
  • Limit data retention
  • Special notices for unexpected data practices “to

enable meaningful practices”

  • Give users access
slide-8
SLIDE 8

8

Do apps on your phone:

  • Have privacy policy
  • Give you control/access over data collected
  • Have ‘Special Notices’
slide-9
SLIDE 9

9

Recent Policy: White House

slide-10
SLIDE 10

10

Recent Policy: FTC Staff Report

slide-11
SLIDE 11

11

Developing Policy: NTIA MHP

slide-12
SLIDE 12

12

Multi-stakeholder process (MSHP)

  • Open meetings
  • MSHP vs. self-regulation
slide-13
SLIDE 13

13

NTIA MSHP vs W3C

  • Communication (email, in-person, etc.)
  • Goal (Code of Conduct vs. tech standard)
  • Novelty of MSHP

Credits – Michael Heiss / FlickR

slide-14
SLIDE 14

14

Data Types

  • Biometrics (information about your body, including fingerprints, facial recognition,

signatures and/or voice print.)

  • Browser History and Phone or Text Log (A list of websites visited, or the calls or texts

made or received.)

  • Contacts (including list of contacts, social networking connections or their phone

numbers, postal, email and text addresses.)

  • Financial Information (Includes credit, bank and consumer-specific financial information

such as transaction data.)

  • Health, Medical or Therapy Information (including health claims and information used to

measure health or wellness.)

  • Location (precise past or current location and history of where a user has gone.)
  • User Files (files stored on the device that contain your content, such as calendar,

photos, text, or video.)

slide-15
SLIDE 15

15

Third-Party Entities

  • Ad Networks (Companies that display ads to you through apps.)
  • Carriers (Companies that provide mobile connections.)
  • Consumer Data Resellers (Companies that sell consumer information to other companies for multiple

purposes including offering products and services that may interest you.)

  • Data Analytics Providers (Companies that collect and analyze your data.)
  • Government Entities (Any sharing with the government except where required or expressly permitted

by law.)

  • Operating Systems and Platforms (Software companies that power your device, app stores, and

companies that provide common tools and information for apps about app consumers.)

  • Other Apps (Other apps of companies that the consumer may not have a relationship with)
  • Social Networks (Companies that connect individuals around common interests and facilitate

sharing.)

slide-16
SLIDE 16

16

Survey

slide-17
SLIDE 17

17

Common understanding

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% SuperTax: State Agency EasyApply: State Agencies SuperTax: Federal Agency iTunes: Facebook CallCalendar: Carrier Bookstore: Facebook FindMyKid: Local Police GoodDriver: Traffic Data Company CallCalendar: Google Calendar FindMyKid: Parent's Phone iTunes: Apple iCloud Bookstore: GreatReading GoodDriver: Car Insurance GoodDriver: Car Rental HipClothes: Other Clothing Stores Salsa: AdMeMetric Fitness: Sports Companies Salsa: Ad Companies Fitness: Health Companies Title Ad Networks Carriers Consumer Data Resellers Data Analytics Providers Government Entities Operating Systems and Platforms Other Apps Social Networks None Not Sure

slide-18
SLIDE 18

18

Why so bad?

  • Process Fatigue
  • What is usability?
  • Cost of usability tests
  • Process issues
slide-19
SLIDE 19

19

C y L a b U s a b l e P r i v a c y & S e c u r i t y L a b

  • r

a t

  • r

y H T T P : / / C U P S . C S . C M U . E D U

Engineering & Public Policy

CyLab

Is Your Inseam a Biometric? Evaluating the Understandability of Mobile Privacy Notice Technical reports: CMU- CyLab-13-011

slide-20
SLIDE 20

20

Different Study

slide-21
SLIDE 21

21

App Developers

  • 200,000 iOS developers
  • 800,000 iOS apps and 800,000 Android apps
  • Low barrier to entry
slide-22
SLIDE 22

22

Information on smartphones

slide-23
SLIDE 23

23

App Developer study

  • Exploratory Interviews (13)
  • Quantitative on-line study (228)
slide-24
SLIDE 24

24

Interview app developers

  • How do they decide what privacy and security

measures to take?

– Search engines – Some training – Talk to friends – May have access to legal counsel – May need legal counsel

slide-25
SLIDE 25

25

App developer tools

  • Do

– Cloud computing – Authentication (Facebook) – Analytics such as Google and Flurry – Open source tools such as mysql

  • Don’t

– Privacy Policy generators – Security audits – Read third-party privacy policies – Delete data

slide-26
SLIDE 26

26

Quantitative Survey

  • Behaviors:

– Privacy Policy – CPO or equivalent – Encrypt stored data – Use SSL – Data minimization

slide-27
SLIDE 27

27

Company size

slide-28
SLIDE 28

28

Company size

slide-29
SLIDE 29

29

Data Type Collect or Store Parameters specific to my app 83.9% Which apps are installed 73.9% Location 71.6% Advertising ID 70.6% Sensor (not location) 63.0% Phone Id 54.5% Contacts 54.0% Phone Number 44.1% Password 35.5% Credit Card Information 30.3%

slide-30
SLIDE 30

30

slide-31
SLIDE 31

31

slide-32
SLIDE 32

32

C y L a b U s a b l e P r i v a c y & S e c u r i t y L a b

  • r

a t

  • r

y H T T P : / / C U P S . C S . C M U . E D U

Engineering & Public Policy

CyLab

balebako@cmu.edu

Thanks!