Showing 2 open source projects for "distributions linux"

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  • Secure File Transfer for Windows with Cerberus by Redwood Icon
    Secure File Transfer for Windows with Cerberus by Redwood

    Protect and share files over FTP/S, SFTP, HTTPS and SCP with the #1 rated Windows file transfer server.

    Cerberus supports unlimited users and connections on a single IP, with built-in encryption, 2FA, and a browser-based web client — all deployable in under 15 minutes with a 25-day free trial.
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  • Stop Storing Third-Party Tokens in Your Database Icon
    Stop Storing Third-Party Tokens in Your Database

    Auth0 Token Vault handles secure token storage, exchange, and refresh for external providers so you don't have to build it yourself.

    Rolling your own OAuth token storage can be a security liability. Token Vault securely stores access and refresh tokens from federated providers and handles exchange and renewal automatically. Connected accounts, refresh exchange, and privileged worker flows included.
    Try Auth0 for Free
  • 1
    Naeon

    Naeon

    The safest way to store private data in untrusted (cloud) environments

    Naeon secures data in untrusted off-site storage through a layered approach: files are compressed, then AES-256 encrypted with a randomly generated 128-character passphrase yielding approximately 762 bits of entropy — far beyond the reach of both classical and quantum brute-force attacks. The ciphertext is obfuscated by prepending and appending random byte blocks, making the result unidentifiable as an encrypted file. The payload is then sharded into one private chunk — holding the...
    Downloads: 3 This Week
    Last Update:
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  • 2

    ExRandom

    Sampling exactly from the normal and exponential distributions

    ExRandom is a small header-only C++11 library for exact sampling from the normal, exponential, and discrete normal distributions (provided that the underlying generator is perfect). This library provides an implementation of the algorithms described in C. F. F. Karney, Sampling exactly from the normal distribution, ACM Trans. Math. Software 42(1), 3:1-14 (Jan. 2016), https://doi.org/10.1145/2710016, https://arxiv.org/abs/1303.6257.
    Downloads: 7 This Week
    Last Update:
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