An Information-Theoretic Approach to Time-Series Data Privacy - - PowerPoint PPT Presentation

an information theoretic approach to time series data
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An Information-Theoretic Approach to Time-Series Data Privacy - - PowerPoint PPT Presentation

An Information-Theoretic Approach to Time-Series Data Privacy W-P2DS 2018 Yousef Amar Hamed Haddadi, Richard Mortier Problem Opaque privacy contexts Coarse access control Context-dependent filtering Producer Consumer How can


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SLIDE 1

An Information-Theoretic Approach to Time-Series Data Privacy

W-P2DS 2018

Yousef Amar

Hamed Haddadi, Richard Mortier

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SLIDE 2

Problem

◮ Opaque privacy contexts ◮ Coarse access control ◮ Context-dependent filtering ◮ How can we measure privacy and risk

  • nline and adjust the flow of data

based on risk? Producer Consumer

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SLIDE 3

Context

◮ Home IoT devices

◮ Low-latency ◮ Limited resources

◮ Streaming, high-frequency time series

data

◮ Implemented over the Databox

platform

3rd Parties

Export Stores Drivers

Sources

Databox Databox

Apps Arbiter

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SLIDE 4

Implementation

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SLIDE 5

Implementation

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SLIDE 6

Evaluation

Figure: Receiver Operating Characteristic (ROC) curves for washer-dryer (utility; left) and microwave (attack; right)

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SLIDE 7

Evaluation

◮ Gains in privacy ◮ Without impacting utility ◮ Negligible latency overhead ◮ Future Work

◮ Mutual information ◮ Smooth interpolation between levels

  • f granularity

◮ User-defined policies

Figure: Distributions of time to availability under different conditions

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SLIDE 8

Thank you for your attention!

Questions?

More info: http://www.databoxproject.uk/ Contribute: https://github.com/me-box

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SLIDE 9

Surprisal

The self-information I(ωn) associated with outcome ωn with probability P(ωn) is defined as: I(ωn) = − log(P(ωn)) = log

  • 1

P(ωn)

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SLIDE 10

Thresholds