Showing 4 open source projects for "physical security"

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  • 1
    Tor Browser

    Tor Browser

    Browser for using Tor on Windows, Mac OS X or Linux

    Tor Browser enables you to use Tor on Windows, Mac OS X, or Linux without needing to install any software. Tor is a software that bounces your communications around a distributed network of relays run by volunteers. This effectively prevents anyone watching your Internet connection from learning what sites you visit; it prevents the sites you visit from learning your physical location; and allows you access to sites which are blocked. Tor Browser can run off a USB flash drive, comes with...
    Downloads: 1,055 This Week
    Last Update:
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  • 2
    BOSS V01-LTS gnome desktop

    BOSS V01-LTS gnome desktop

    Lightweight Blockchain dedicated OS

    Blockchain Operative System Series BOSS is a new Linux distribution based on ubuntu core with important changes, highly improved security and the default incorporation of blockchain services and support for cryptocurrencies.It has been more than a decade since the physical birth of cryptocurrencies, although the idea is over 50 years old. The future will undoubtedly be governed by blockchain systems and operative systems must to be ready for this changes. BOSS bet to be pioneer on this. ...
    Downloads: 0 This Week
    Last Update:
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  • 3
    Whonix

    Whonix

    Whonix is an Anonymous Operating System.

    THIS IS NOT WHONIX'S HOMEPAGE. Please go to: https://www.whonix.org/ (This is only Whonix's sourceforge must-have project page.) Whonix is an operating system focused on anonymity, privacy and security. It's based on the Tor anonymity network, Debian GNU/Linux and security by isolation. DNS leaks are impossible, and not even malware with root privileges can find out the user's real IP. Whonix consists of two parts: One solely runs Tor and acts as a gateway, which we call...
    Downloads: 0 This Week
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  • 4
    PadotusRNDT.js

    PadotusRNDT.js

    This library allows you to generate a random number

    This library allows you to generate a random number in the specified range from 0 to n, without using the built-in function Math.random (), and gets a random number from the processing time of polymorphic mathematical calculations, which depends on the current physical parameters of the CPU, RAM, and t .P. The resulting sequence corresponds to a discrete uniform distribution and is close to natural random sequences in terms of statistical randomness tests (LFSR, Approximate Entropy, DIEHARD Test).
    Downloads: 0 This Week
    Last Update:
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