These slides are from a briefing to Congressional staffers about privacy, October 30 2014. It talks about our ongoing work with PrivacyGrade.org, which uses crowdsourcing techniques plus static analysis techniques to infer the privacy-related behaviors of apps.
Professor in School of Computer Science at Carnegie Mellon University
Past work
Anti-phishing research
Wombat Security
Location privacy
Jason Hong / jasonh@cs.cmu.edu
I’m a computer scientist, and I’ve been working with sensor-based systems for 15 years
My claim: in the near future, smartphones will know everything about us
Our Smartphones will know if we are depressed or not / what our carbon footprint is / what our information needs are before we even know what we need
Images from
http://www.androidtapp.com/how-simple-is-your-smartphone-to-use-funny-videos/
http://www.sfgate.com/crime/article/Absorbed-device-users-oblivious-to-danger-4876709.php#photo-5278749
http://www.reneweduponadream.com/2012/09/business-without-smartphone-dont-let-it.html
Main stats on this page are from:
http://www.cisco.com/c/en/us/solutions/enterprise/connected-world-technology-report/index.html#~2012
Additional stats about mobile phones:
http://www.pewinternet.org/fact-sheets/mobile-technology-fact-sheet/
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What’s also interesting are trends in how people use these smartphones
http://blog.sciencecreative.com/2011/03/16/the-authentic-online-marketer/
http://www.generationalinsights.com/millennials-addicted-to-their-smartphones-some-suffer-nomophobia/
In fact, Millennials don’t just sleep with their smartphones. 75% use them in bed before going to sleep and 90% check them again first thing in the morning. Half use them while eating and third use them in the bathroom. A third check them every half hour. Another fifth check them every ten minutes. A quarter of them check them so frequently that they lose count.
http://www.androidtapp.com/how-simple-is-your-smartphone-to-use-funny-videos/
Pew Research Center
Around 83 percent of those 18- to 29-year-olds sleep with their cell phones within reach.
http://persquaremile.com/category/suburbia/
Pushing further, smartphone data is really intimate
Location, call logs, SMS, pics, more
A grand challenge for computer science
http://www.flickr.com/photos/robby_van_moor/478725670/
On the left is Nissan Maxima gear shift. It turns out my brother was driving in 3rd gear for over a year before I pointed out to him that 3 and D are separate. The older Nissan Maxima gear shift on the right makes it hard to make this mistake.
Lin et al, Expectation and Purpose: Understanding User’s Mental Models of Mobile App Privacy thru Crowdsourcing. Ubicomp 2012.
In expectations condition, people were told app used a permission but not why.
We created a predictive model of people’s concerns using a combination of static analysis and crowdsourcing.