Title: Privacy%20and%20Sensor%20Andrew
1Privacy and Sensor Andrew
Jason Hong
2A Personal Story about Privacy
- Characteristics
- Real-time, distributed
- Invisibility of sensors
- Potential scale
- Questions
- What data is collected?
- Who can see it?
- What is it used for?
- How long is data kept?
- Issues
- Unease over surveillance
- Choice in the matter
3Why Care About Privacy?End-User Perspective
- Protection from spam, identity theft, mugging
- Discomfort over perceived surveillance
- Lack of trust in work environments
- Might affect performance, mental health
- May contribute to feeling of lack of control over
life - Lack of adoption of tech
4Subtle Control
- The Active Badge could tell when you were in
the bathroom, when you left the unit, and how
long and where you ate your lunch. EXACTLY what
you are afraid of. - allnurses.com
5Why is Privacy Hard?Definition problem
- Hard to define until something bad happens
- Well, of course I didnt mean to share that
- I know it when I lose it
- No generally agreed upon definition for privacy
- Risks not always obvious up front
- Burglars went to airports to collect license
plates - Credit info used by kidnappers in South America
- Humidity sensors used to infer presence (Luk and
Perrig)
6Why is Privacy Hard?Individual perspective
- Cause and effect may be far in time and space
- Think politicians and actions they did when young
- Video might appear on YouTube years later
- Privacy is highly malleable depending on
situation - Still use credit cards to buy online
- Benefit outweighs cost
- Power or social imbalances
- Employees may not have many choices
- Easy to misinterpret
- Went to drug rehabilitation clinic, why?
7Why is Privacy Hard?Technical Perspective
- Easier to capture data
- Video cameras, camera phones, microphones,
sensors - Break natural boundaries of physics
8Why is Privacy Hard?Technical Perspective
- Data getting easier to store and retrieve
- LifeLog technologies
- Googling a potential date
9Why is Privacy Hard?Technical Perspective
- Easier to capture data
- Video cameras, camera phones, microphones,
sensors - Break natural boundaries of physics
- Easier to store and retrieve data
- LifeLog technologies
- Googling a potential date
- Easier to share data
- Ubiquitous wireless networking
- Blogs, wikis, YouTube, Flickr, FaceBook
- Inferences and Machine Learning
- Humidity to detect presence
- Work by Microsoft Research predicting where
youre going
10Some Useful Ways of Thinking about Privacy
- Privacy is the claim of individuals, groups or
institutions to determine for themselves when,
how, and to what extent information about them
is communicated to others (Westin) - Led to Fair Information Practices
- Note many variants of FIPs
- Will discuss Organization for Economic
Cooperation and Development, one of the
strictest sets - Useful for organizations collecting lots of data
- Hospitals, financial institutions, etc
11Fair Information Practices (FIPs)
- Collection limitation
- Data quality
- Purpose specification
- Use limitation
- Reasonable security
- Openness and transparency
- Individual participation
- Accountability
12Some Suggestions for Sensor Andrew
Have clear privacy policies for data collection
and retention
- Collection limitation
- Data quality
- Purpose specification
- Use limitation
- Reasonable security
- Openness and transparency
- Individual participation
- Accountability
13Some Suggestions for Sensor Andrew
Make it clear what is being deployed and why
(both on Sensor Andrew web site and signs) No
hidden databases
- Collection limitation
- Data quality
- Purpose specification
- Use limitation
- Reasonable security
- Openness and transparency
- Individual participation
- Accountability
14Some Suggestions for Sensor Andrew
- Collection limitation
- Data quality
- Purpose specification
- Use limitation
- Reasonable security
- Openness and transparency
- Individual participation
- Accountability
Make sure databases and wireless networks use
basic encryption and have latest patches (might
not be immediate concern though)
15Some Suggestions for Sensor Andrew
- Collection limitation
- Data quality
- Purpose specification
- Use limitation
- Reasonable security
- Openness and transparency
- Individual participation
- Accountability
Provide some level of choice (opt-in /
opt-out) Value proposition for end-users
16Some Suggestions for Sensor Andrew
- Collection limitation
- Data quality
- Purpose specification
- Use limitation
- Reasonable security
- Openness and transparency
- Individual participation
- Accountability
Have someone clearly in charge of privacy (sort
of a Chief Privacy Officer)
17Privacy Policies
- Evidence strongly suggests people dont read
privacy policies (unless assigned as homework ?) - Carlos Jensen et al, CHI 2004
- But probably better to have them for Sensor
Andrew - Forces us to have thought through issues
- Somewhat of a placebo effect
18Multi-Level Privacy Policies
- http//www.pg.com/privacy/english/privacy_notice.h
tml
19Multi-Level Privacy Policies
- Idea from EU Working group on privacy
- Short - Few sentences, for mobile phone or sign
- Condensed - Half page summary on web site
- Full - Details on web site
- Overall, privacy policies are a good short-term
goal
20Privacy as Projecting a Desired Persona
- People see you the way you want them to see you
- Examples
- Cleaning up your place before visitors
- Putting the right books and CDs out
- Having desirable Facebook groups,hobbies,
politics, etc on your profile - This is more about interpersonalprivacy, versus
privacy with respectto organizations
21Some Sensor Andrew Scenarios
- Students see when faculty arrive and leave (or
vice versa) - Spouse checks if really leaving office right
now - Parents try to look up information about children
- Stalker monitors stalkee
- Creepy but cool
- How others use Sensor Andrew
- Want to project a desirable persona, while being
protected from intrusive queries
22Long-Term Research Possibilities
- Provide multiple layers of protection
User Interface Layer
Data Layer
- Actual sensors and wireless networking
- Limitations on what is collected
- Some natural ambiguity
- Plausible deniability
Sensor Layer
23Long-Term Research Possibilities
- Storage and access to sensed data
- Might limit what others can access
- UW RFID project
- Might log all queries for potential audits
- Might have a way of translating privacy policies
into something that limits queries - Checks that certain info not released
User Interface Layer
Data Layer
Sensor Layer
24Long-Term Research Possibilities
User Interface Layer
- Providing controls and feedback to end-users
- Makes people feel in control of system
- Social translucency
- Awareness
- PAWS
- Can at least act right
Data Layer
Sensor Layer
25Questions?
26Contextual Instant Messaging
- Facilitate coordination and communication by
letting people request contextual information via
IM - Interruptibility (via SUBTLE toolkit)
- Location (via Place Lab WiFi positioning)
- Active window
- Developed a custom client and robot on top of AIM
- Client (Trillian plugin) captures and sends
context to robot - People can query imbuddy411 robot for info
- howbusyis username
- Robot also contains privacy rules governing
disclosure
27Control Setting Privacy Policies
- Web-based specification of privacy preferences
- Users can create groups andput screennames into
groups - Users can specify what each group can see
28Control System Tray
- Coarse grain controls plus access to privacy
settings
29Feedback Notifications
30Feedback Social Translucency
31Feedback Offline Notification
32Feedback Summaries
33Feedback Audit Logs
34- Separate projects into tiers?
- High-risk and low-risk ones
- Or step-by-step guide for all projects
- Permission from office owners
- Informed opt-in
- How long to retain info?
- How long is anonymized data kept?
- How easy to de-anonymize data?
- What makes Sensor Andrew different from other
systems collecting info that can be inferred? - Higher standard for us b/c of possible fusion
- Use sensors only in public spaces / hallways
- Dont store anything until we have figured out
better policies? - Let individuals see info about themselves
- Participatory design