Showing 4 open source projects for "python random number generator"

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  • 1
    BEDBUG CSPRNG & Stream Cipher

    BEDBUG CSPRNG & Stream Cipher

    A family of FLEA-inspired CSPRNGs and Stream Ciphers

    BEDBUG is a small, fast, cryptographically secure pseudo-random number generator (CSPRNG) and stream cipher. It exhibits uniform distribution, mixes rapidly (with worst-case avalanche better than 16-bits), has no detected bias, and comes in three variants: BEDBUG128, with an internal state array of 128+3 32-bit words; BEDBUG256, with an internal state of 256+3 words; and BEDBUG512 with a 512+3-word state.
    Downloads: 0 This Week
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  • 2
    MOTE CSPRNG & Stream Cipher

    MOTE CSPRNG & Stream Cipher

    A family of small-state CSPRNGs and Stream Ciphers

    MOTE is a fast, small-state, cryptographically secure pseudo-random number generator (CSPRNG) and stream cipher. MOTE exhibits uniform distribution, mixes extremely rapidly, has no detected bias, and comes in three variants: MOTE8, with an internal state array of 8+4 32-bit words; MOTE16, with an internal state of 16+4 words; and MOTE32 with a 32+4-word state. The former permit seeding with a key of up to 256 or 512 bits, the latter with a 1024-bit key.
    Downloads: 0 This Week
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  • 3
    AUM CSPRNG & Stream Cipher

    AUM CSPRNG & Stream Cipher

    A minimal CSPRNG reflecting the Zen of cipher design

    AUM is an extremely fast, small-state, cryptographically secure pseudo-random number generator and stream cipher. AUM exhibits uniform distribution, mixes rapidly, has no detected bias, and comes in three variants: AUM16, with an internal state array of 16+4 32-bit words; AUM32, with an internal state of 32+4 words; and AUM64 with a 64+4-word state. The former permit seeding with a key of up to 512 or 1024 bits, the latter with a 2048-bit key.
    Downloads: 0 This Week
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  • 4
    random is a C program that generates random variables for several distributions such as normal. It can be used as a library for simulation purposes or as an education tool. For the list of distributions used in this program, please read the documentation.
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