Search Results for "java source code for encryption and decryption using ibe"

Showing 4 open source projects for "java source code for encryption and decryption using ibe"

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  • 1
    aws-encryption-sdk

    aws-encryption-sdk

    AWS Encryption SDK

    The AWS Encryption SDK is a client-side encryption library designed to make it easy for everyone to encrypt and decrypt data using industry standards and best practices. It enables you to focus on the core functionality of your application, rather than on how to best encrypt and decrypt your data. The AWS Encryption SDK is provided free of charge under the Apache 2.0 license. With the AWS Encryption SDK, you define a master key provider (Java and Python) or a keyring (C, C#/.NET, and...
    Downloads: 0 This Week
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  • 2
    virgosun teaching support

    virgosun teaching support

    Mentor, code c, c++, java, go, php, swift, .. DevSecOps virtual lab, .

    Menor, code c, c++, java, python, go, php, swift, .., DevSecOps virtual lab, .. This software is provided as a demonstration build. Redistribution of the binary is allowed for academic evaluation only. More previously completed projects will be released incrementally as executable packages are rebuilt for public distribution. www.youtube.com/embed/fzoISpZv5d0?rel=0
    Downloads: 0 This Week
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  • 3
    garysfm

    garysfm

    An advanced file manager with qss themes and iso and folder previews

    garysfm which stands for Gary's File Manager is a file manager with some advanced features. Those features include bulk renaming and folder image previews. I has rather advanced search functions, tab browsing with persistence between launches. It remembers your folder sorting and view options in icon view. It also remembers your active tabs between sessions. It has progress dialog while doing large operations like copying large files, and folders with many files. python version works on...
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    Downloads: 2 This Week
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  • 4
    CrypTen

    CrypTen

    A framework for Privacy Preserving Machine Learning

    CrypTen is a research framework developed by Facebook Research for privacy-preserving machine learning built directly on top of PyTorch. It provides a secure and intuitive environment for performing computations on encrypted data using Secure Multiparty Computation (SMPC). Designed to make secure computation accessible to machine learning practitioners, CrypTen introduces a CrypTensor object that behaves like a regular PyTorch tensor, allowing users to seamlessly apply automatic...
    Downloads: 0 This Week
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