https://github.com/swarupchandra/secure-analytics-sgx

Securing Data Analytics on Intel SGX using Randomization
https://github.com/swarupchandra/secure-analytics-sgx

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Securing Data Analytics on Intel SGX using Randomization

• Host: GitHub
• URL: https://github.com/swarupchandra/secure-analytics-sgx
• Owner: swarupchandra
• Created: 2017-07-12T22:19:36.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2017-08-30T22:58:31.000Z (over 7 years ago)
• Last Synced: 2024-08-02T02:10:47.194Z (5 months ago)
• Language: C++
• Size: 56.6 KB
• Stars: 12
• Watchers: 1
• Forks: 6
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

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• awesome-sgx - swarupchandra/secure-analytics-sgx - Securing Data Analytics on Intel SGX using Randomization. (Tool&&DEBUG)

README

        
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Securing Data Analytics on SGX with Randomization

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Details can be found in here.

Project:

1. App/App.cpp contains the untrusted code.

2. Enclave/Analytics/ contain the data analytics used in various experiments in the paper.

Settings (in App/App.cpp):

1. basedir: Directory of input data files.

2. Experiments settings on chunk/minibatch size, proportion of dummy data instances, number of clusters in K-Means clustering.

3. Class label prediction analytics include Decision Tree, Naive Bayes and K-means. Each classifier can be run by choosing appropriate code, as given in App.cpp under ocall_manager function.

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How to Build/Execute the Code

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1. Install Intel(R) SGX SDK for Linux* OS

2. Specify data directory in basedir of App/App.cpp.

3. Also specify appropriate settings in App/App.cpp file.

2. Build the project with the prepared Makefile:

    a. Hardware Mode, Debug build:

        $ make SGX_MODE=HW SGX_DEBUG=1

    b. Hardware Mode, Pre-release build:

        $ make SGX_MODE=HW SGX_PRERELEASE=1

    c. Hardware Mode, Release build:

        $ make SGX_MODE=HW

    d. Simulation Mode, Debug build:

        $ make SGX_DEBUG=1

    e. Simulation Mode, Pre-release build:

        $ make SGX_PRERELEASE=1

    f. Simulation Mode, Release build:

        $ make

3. Execute the binary directly:

    $ ./app