The CAPrice Initiative and the CAP-A project: A bottom-up solution to digital privacy Ioannis Chrysakis (FORTH-ICS, Information Systems Laboratory) – chrysakis.eu 1 st Graduate Students Conference, Computer Science Department, Univ. Crete, 25/10/19
Source: Statista, Internet Live Stats, Expanded Ramblings, Association of City Transportation Officials, Wired THE BIG DATA REVOLUTION 2
THE BIG DATA REVOLUTION • The Data Economy • Processing of Data • Machine learning, deep learning, data science • Hidden Correlations • Predict epidemics, personalized medicine etc. • Personality identification 1 , vote manipulation 2 1. ApplyMagicSauge : can tell your personality from facebook/twitter posts. 2. Allegations that Cambridge Analytica and other big data companies used targeted micro-advertising and personalized emotional triggers to help in the success of the Brexit and Trump campaigns. 3
Source://www.caprice-community.net/category/actual-cases/ DATA SURVEILANCE • Tribute to privacy leaks: The 21 scariest data breaches of 2018 (including Facebook, Google+, Cambridge Analytica, Aadhar) • Iphone apps privacy leak: Dozens of Apps ‘constantly’ sending location data! • Red Shell analytics software causes privacy uproar. Several game developers vow to drop it. 4 Source: https://computerworld.com/article/3346011/why-do-new-smartphones-at-mwc19-need-so-many-cameras.html
TERMS OF SERVICE (TOS) 5
TERMS OF SERVICE (TOS) • T oS documents • Lengthy 1 • Hard to read/understand • Change often • Real versus digital world • Different behaviour with regards to privacy 2,3 1. NCC : Reading ToS for an average Norwegian would take 32 hours (250.000 words) 2. Purple : 22.000 users agreed to 1.000 hours of community service (including cleaning animal waste and relieving sewer blockages) in exchange for free wifi 3. Video: If your shop assistant was an app (hidden camera) @ youtube 6
OUR GOAL • How do we enable users to: • understand and be aware of what they gain and what they lose when they use digital services? • decide collectively and make explicit their privacy preferences. • How can we convince developers that respecting users’ privacy is profit-maximizing? • Create a trusted-market where we can bring together users, hackers and developers. 7
OUR PLAN • 1.Awareness : By this way people could understand the problem and start considering solutions. • 2. Action : Participating in the collaborative process of annotating ToS documents, stating privacy concerns, creating and configuring collective privacy norms etc. • 3. Crowdsourced activities / facilities : Tools and services that allow users to finally create more digital more privacy-friendly products and services. 8
THE ROLE OF COMMUNITY • Our Goal • Generate a community of privacy-aware citizens • Community will act as the basic communication vehicle to harness the power of the crowd, through awareness and participation • Channels: Website, Social Media [Community Members] • Events: Gamification, Presentations, Virtual Events, • Activities: Crowdsourcing activities, Online Polls 9
THE CAP-A PROJECT • Current situation in the Digital World: • Mobile Apps request access to a wealth of personal data • Terms of Service (ToS) documents are hard to read or understand (our consent is often uninformed) • This practice hurts the market in the long run, especially small companies since users lose their trust on digital products We Propose a Bottom-up Solution to Digital Privacy 10
THE CAP-A PROJECT 11
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Q & A 13
CONTACT INFORMATION • Ioannis Chrysakis (R & D Engineer - Information Systems Laboratory, Institute of Computer Science (ICS), Foundation for Research and Technology-Hellas (FORTH) • www.chrysakis.eu, @ichrysakis (twitter, linkedin) • CAP-A Project – https://www.cap-a.eu • CAPrice Community – https://www.caprice-community.net (#CapriceCommunity – Get involved/follow us on social media) 14
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