Privacy-Preserving Applications on Smartphones
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1 Privacy-Preserving Applications on Smartphones Yan Huang Peter Chapman David Evans University of Virginia HotSec '11 August 9,
2 What's on your phone? Contacts Location History Genome (maybe next year) Pictures Banking & Payment
3 Mutual Contact Discovery Someone nearby also knows Alice and 8 other contacts of yours! Bob Discover! Transfer entire (hashed) contact list between devices? Alice
4 Mutual Contact Discovery Someone nearby also knows Alice and 8 other contacts of yours! Bob Discover! Sharing contact list with a stranger is unacceptable Alice
5 The Dilemma Can we interact with others and control our data?
6 Trust a Third Party? June Million April ,500 Corporate Clients June ,000 April Million June Million
7 Secure Two-Party Computation Bob (circuit evaluator) Alice (circuit generator) Private Data: a Private Data: b Garbled Circuit Protocol Semi-honest threat model Andrew Yao, 1982/1986
8 Potential Applications Two Party Multi-Party Common Contacts Favorite Workshop Papers Voting, Auctions & more! g n i s i t r e v d A d e t e g ar T r e Hyp Collaborative Scheduling
9 Potential Applications User-Initiated (Explicit) Automatic (Background) Voting, Auctions & more! Favorite Workshop Papers Collaborative Scheduling CommonContacts Hyper-Targeted Advertising
10 Implementing Privacy-Preserving Applications
11 Secure-Computation Framework Java-Based Pipelined Circuit Execution Garbled Circuit Free XOR Framework Circuit-Level Optimizations See our talk in the Friday, 5 PM Applied Cryptography USENIX Security technical session: Faster Secure Two-Party Computation Using Garbled Circuits Yan Huang, David Evans, Jonathan Katz, & Lior Malka Available now:
12 Porting the Framework 100 non-free gates per second: 1000 times slower than desktop! No cryptographic hardware modules. We thank Google for the Nexus One phones!
13 Common Contacts Search for mutually shared contacts, without leaking others. 128 contacts compared in 150 seconds 24-bit Hashes of and Phone Numbers Sort-Compare-Shuffle to do private set intersection in O(n log n)
14 Improving Mobile Performance Java's immutable BigInteger causes 1/2 of time to be spent on GC
15 Improving Mobile Performance Poster and Demo: More Efficient Secure Computation on Smartphones Sang Koo, Yan Huang, Peter Chapman, and David Evans (Thursday, 6PM California East/West) Java's immutable BigInteger causes 1/2 of time to be spent on GC
16 Future Optimization: RenderScript C99 with extensions Runs on either CPU or GPU depending on complexity
17 Future Directions
18 Stronger Adversaries Semi-Honest (Honest But Curious) Adversary Adversary follows the protocol as specified (!) Curious adversary tries to learn more from protocol execution transcript.
19 Stronger Adversaries Semi-Honest (Honest But Curious) Adversary Adversary follows the protocol as specified (!) Curious adversary tries to learn more from protocol execution transcript. Semi-Honest Good Enough?
20 Stronger Adversaries Semi-Honest (Honest But Curious) Adversary Adversary follows the protocol as specified (!) Curious adversary tries to learn more from protocol execution transcript. Semi-Honest Good Enough? Software Based Attestation?
21 Leveraging the Carrier Any new peers nearby? Carriers can identify and locate devices on their networks.
22 OS Support for Secure Computation Secure Apps Common Contacts OS/Standardized Displays Private data restricted to secure computation by OS
23 Summary Useful applications that are social and cryptographically protect privacy. Performance challenges, open research questions, and deployment hurdles remain.
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26 User-Friendly Secure Computation User Education OS/Standardized Displays Private data restricted to secure computation by OS
27 Application Development Now: Privacy-Preserving computations as a concept must break out of academia Proper education about data leakage and threat mode +2 Years: Secure Computation Library Development Share Sub-circuits & Components +5 Years: Automatic Source Conversion with Privacy-Preserving Functionality
28 Heterozygous Recessive Risk Bob Alice A a A AA Aa a aa aa Noncarrier: 25% Just Carrier: 50% Disease: 25% cystic fibrosis Goal: Compute overall risk across a range of diseases
29 Background Secure Computations the o t e go? w rs Do a b e sam Do w e same share the inter ests? I just watched all of Arrested Development on Hulu, got any deals? Must cap repeated executions
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