// rng.h - written and placed in the public domain by Wei Dai //! \file rng.h //! \brief Miscellaneous classes for RNGs //! \details This file contains miscellaneous classes for RNGs, including LC_RNG(), //! X917RNG() and MaurerRandomnessTest() //! \sa osrng.h, randpool.h #ifndef CRYPTOPP_RNG_H #define CRYPTOPP_RNG_H #include "cryptlib.h" #include "filters.h" #include "smartptr.h" NAMESPACE_BEGIN(CryptoPP) //! \brief Linear Congruential Generator (LCG) //! \details Originally propsed by William S. England. //! \warning LC_RNG is suitable for simulations, where uniformaly distrubuted numbers are //! required quickly. It should not be used for cryptographic purposes. class LC_RNG : public RandomNumberGenerator { public: //! \brief Construct a Linear Congruential Generator (LCG) //! \param init_seed the initial value for the generator LC_RNG(word32 init_seed) : seed(init_seed) {} void GenerateBlock(byte *output, size_t size); word32 GetSeed() {return seed;} private: word32 seed; static const word32 m; static const word32 q; static const word16 a; static const word16 r; }; //! \class X917RNG //! \brief ANSI X9.17 RNG //! \details X917RNG is from ANSI X9.17 Appendix C. //! \sa AutoSeededX917RNG, DefaultAutoSeededRNG class CRYPTOPP_DLL X917RNG : public RandomNumberGenerator, public NotCopyable { public: //! \brief Construct a X917RNG //! \param cipher the block cipher to use for the generator //! \param seed a byte buffer to use as a seed //! \param deterministicTimeVector additional entropy //! \details cipher will be deleted by the destructor. seed must be at least //! BlockSize() in length. deterministicTimeVector = 0 means obtain time vector //! from the system. //! \details When constructing an AutoSeededX917RNG, the generator must be keyed or an //! access violation will occur because the time vector is encrypted using the block cipher. //! To key the generator during constructions, perform the following: //!
	//!   SecByteBlock key(AES::DEFAULT_KEYLENGTH), seed(AES::BLOCKSIZE);
	//!   OS_GenerateRandomBlock(false, key, key.size());
	//!   OS_GenerateRandomBlock(false, seed, seed.size());
	//!   X917RNG prng(new AES::Encryption(key, AES::DEFAULT_KEYLENGTH), seed, NULL);
	//! 
//! \sa AutoSeededX917RNG X917RNG(BlockTransformation *cipher, const byte *seed, const byte *deterministicTimeVector = 0); void GenerateIntoBufferedTransformation(BufferedTransformation &target, const std::string &channel, lword size); private: member_ptr cipher; const unsigned int S; // blocksize of cipher SecByteBlock dtbuf; // buffer for enciphered timestamp SecByteBlock randseed, m_lastBlock, m_deterministicTimeVector; }; //! \class MaurerRandomnessTest //! \brief Maurer's Universal Statistical Test for Random Bit Generators //! \details This class implements Maurer's Universal Statistical Test for //! Random Bit Generators. It is intended for measuring the randomness of //! *PHYSICAL* RNGs. //! \details For more details see Maurer's paper in Journal of Cryptology, 1992. class MaurerRandomnessTest : public Bufferless { public: MaurerRandomnessTest(); size_t Put2(const byte *inString, size_t length, int messageEnd, bool blocking); //! \brief Provides the number of bytes of input is needed by the test //! \returns how many more bytes of input is needed by the test // BytesNeeded() returns how many more bytes of input is needed by the test // GetTestValue() should not be called before BytesNeeded()==0 unsigned int BytesNeeded() const {return n >= (Q+K) ? 0 : Q+K-n;} // returns a number between 0.0 and 1.0, describing the quality of the // random numbers entered double GetTestValue() const; private: enum {L=8, V=256, Q=2000, K=2000}; double sum; unsigned int n; unsigned int tab[V]; }; NAMESPACE_END #endif