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162 lines
5.2 KiB
162 lines
5.2 KiB
5 years ago
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// ida.h - written and placed in the public domain by Wei Dai
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//! \file ida.h
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//! \brief Classes for Information Dispersal Algorithm (IDA)
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#ifndef CRYPTOPP_IDA_H
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#define CRYPTOPP_IDA_H
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#include "cryptlib.h"
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#include "mqueue.h"
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#include "filters.h"
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#include "channels.h"
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#include "secblock.h"
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#include "stdcpp.h"
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#include "misc.h"
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NAMESPACE_BEGIN(CryptoPP)
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/// base class for secret sharing and information dispersal
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class RawIDA : public AutoSignaling<Unflushable<Multichannel<Filter> > >
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{
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public:
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RawIDA(BufferedTransformation *attachment=NULL)
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: m_threshold (0), m_channelsReady(0), m_channelsFinished(0)
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{Detach(attachment);}
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unsigned int GetThreshold() const {return m_threshold;}
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void AddOutputChannel(word32 channelId);
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void ChannelData(word32 channelId, const byte *inString, size_t length, bool messageEnd);
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lword InputBuffered(word32 channelId) const;
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void IsolatedInitialize(const NameValuePairs ¶meters=g_nullNameValuePairs);
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size_t ChannelPut2(const std::string &channel, const byte *begin, size_t length, int messageEnd, bool blocking)
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{
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if (!blocking)
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throw BlockingInputOnly("RawIDA");
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ChannelData(StringToWord<word32>(channel), begin, length, messageEnd != 0);
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return 0;
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}
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protected:
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virtual void FlushOutputQueues();
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virtual void OutputMessageEnds();
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unsigned int InsertInputChannel(word32 channelId);
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unsigned int LookupInputChannel(word32 channelId) const;
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void ComputeV(unsigned int);
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void PrepareInterpolation();
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void ProcessInputQueues();
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typedef std::map<word32, unsigned int> InputChannelMap;
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InputChannelMap m_inputChannelMap;
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InputChannelMap::iterator m_lastMapPosition;
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std::vector<MessageQueue> m_inputQueues;
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std::vector<word32> m_inputChannelIds, m_outputChannelIds, m_outputToInput;
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std::vector<std::string> m_outputChannelIdStrings;
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std::vector<ByteQueue> m_outputQueues;
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int m_threshold;
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unsigned int m_channelsReady, m_channelsFinished;
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std::vector<SecBlock<word32> > m_v;
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SecBlock<word32> m_u, m_w, m_y;
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};
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/// a variant of Shamir's Secret Sharing Algorithm
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class SecretSharing : public CustomFlushPropagation<Filter>
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{
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public:
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SecretSharing(RandomNumberGenerator &rng, int threshold, int nShares, BufferedTransformation *attachment=NULL, bool addPadding=true)
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: m_rng(rng), m_ida(new OutputProxy(*this, true))
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{
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Detach(attachment);
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IsolatedInitialize(MakeParameters("RecoveryThreshold", threshold)("NumberOfShares", nShares)("AddPadding", addPadding));
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}
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void IsolatedInitialize(const NameValuePairs ¶meters=g_nullNameValuePairs);
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size_t Put2(const byte *begin, size_t length, int messageEnd, bool blocking);
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bool Flush(bool hardFlush, int propagation=-1, bool blocking=true) {return m_ida.Flush(hardFlush, propagation, blocking);}
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protected:
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RandomNumberGenerator &m_rng;
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RawIDA m_ida;
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bool m_pad;
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};
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/// a variant of Shamir's Secret Sharing Algorithm
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class SecretRecovery : public RawIDA
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{
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public:
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SecretRecovery(int threshold, BufferedTransformation *attachment=NULL, bool removePadding=true)
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: RawIDA(attachment)
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{IsolatedInitialize(MakeParameters("RecoveryThreshold", threshold)("RemovePadding", removePadding));}
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void IsolatedInitialize(const NameValuePairs ¶meters=g_nullNameValuePairs);
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protected:
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void FlushOutputQueues();
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void OutputMessageEnds();
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bool m_pad;
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};
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/// a variant of Rabin's Information Dispersal Algorithm
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class InformationDispersal : public CustomFlushPropagation<Filter>
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{
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public:
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InformationDispersal(int threshold, int nShares, BufferedTransformation *attachment=NULL, bool addPadding=true)
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: m_ida(new OutputProxy(*this, true)), m_pad(false), m_nextChannel(0)
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{
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Detach(attachment);
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IsolatedInitialize(MakeParameters("RecoveryThreshold", threshold)("NumberOfShares", nShares)("AddPadding", addPadding));
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}
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void IsolatedInitialize(const NameValuePairs ¶meters=g_nullNameValuePairs);
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size_t Put2(const byte *begin, size_t length, int messageEnd, bool blocking);
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bool Flush(bool hardFlush, int propagation=-1, bool blocking=true) {return m_ida.Flush(hardFlush, propagation, blocking);}
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protected:
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RawIDA m_ida;
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bool m_pad;
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unsigned int m_nextChannel;
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};
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/// a variant of Rabin's Information Dispersal Algorithm
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class InformationRecovery : public RawIDA
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{
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public:
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InformationRecovery(int threshold, BufferedTransformation *attachment=NULL, bool removePadding=true)
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: RawIDA(attachment), m_pad(false)
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{IsolatedInitialize(MakeParameters("RecoveryThreshold", threshold)("RemovePadding", removePadding));}
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void IsolatedInitialize(const NameValuePairs ¶meters=g_nullNameValuePairs);
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protected:
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void FlushOutputQueues();
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void OutputMessageEnds();
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bool m_pad;
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ByteQueue m_queue;
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};
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class PaddingRemover : public Unflushable<Filter>
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{
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public:
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PaddingRemover(BufferedTransformation *attachment=NULL)
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: m_possiblePadding(false), m_zeroCount(0) {Detach(attachment);}
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void IsolatedInitialize(const NameValuePairs ¶meters)
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{CRYPTOPP_UNUSED(parameters); m_possiblePadding = false;}
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size_t Put2(const byte *begin, size_t length, int messageEnd, bool blocking);
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// GetPossiblePadding() == false at the end of a message indicates incorrect padding
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bool GetPossiblePadding() const {return m_possiblePadding;}
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private:
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bool m_possiblePadding;
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lword m_zeroCount;
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};
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NAMESPACE_END
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#endif
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