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authorMarcoFalke <falke.marco@gmail.com>2021-09-29 17:22:44 +0200
committerMarcoFalke <falke.marco@gmail.com>2021-10-05 11:10:37 +0200
commitfa1e5de2db2c7c95b96773a4ac231ab4249317e9 (patch)
tree310df62d3f7aea8b643f9b01e9caf2a3a9490e25 /src/common/bloom.h
parentfac303c504ab19b863fddc7a0093068fee9d4ef3 (diff)
scripted-diff: Move bloom to src/common
-BEGIN VERIFY SCRIPT- # Move to directory mkdir src/common git mv src/bloom.cpp src/common/ git mv src/bloom.h src/common/ # Replace occurrences sed -i 's|\<bloom\.cpp\>|common/bloom.cpp|g' $(git grep -l 'bloom.cpp') sed -i 's|\<bloom\.h\>|common/bloom.h|g' $(git grep -l 'bloom.h') sed -i 's|BITCOIN_BLOOM_H|BITCOIN_COMMON_BLOOM_H|g' $(git grep -l 'BLOOM_H') -END VERIFY SCRIPT-
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diff --git a/src/common/bloom.h b/src/common/bloom.h
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+// Copyright (c) 2012-2020 The Bitcoin Core developers
+// Distributed under the MIT software license, see the accompanying
+// file COPYING or http://www.opensource.org/licenses/mit-license.php.
+
+#ifndef BITCOIN_COMMON_BLOOM_H
+#define BITCOIN_COMMON_BLOOM_H
+
+#include <serialize.h>
+#include <span.h>
+
+#include <vector>
+
+class COutPoint;
+class CTransaction;
+
+//! 20,000 items with fp rate < 0.1% or 10,000 items and <0.0001%
+static constexpr unsigned int MAX_BLOOM_FILTER_SIZE = 36000; // bytes
+static constexpr unsigned int MAX_HASH_FUNCS = 50;
+
+/**
+ * First two bits of nFlags control how much IsRelevantAndUpdate actually updates
+ * The remaining bits are reserved
+ */
+enum bloomflags
+{
+ BLOOM_UPDATE_NONE = 0,
+ BLOOM_UPDATE_ALL = 1,
+ // Only adds outpoints to the filter if the output is a pay-to-pubkey/pay-to-multisig script
+ BLOOM_UPDATE_P2PUBKEY_ONLY = 2,
+ BLOOM_UPDATE_MASK = 3,
+};
+
+/**
+ * BloomFilter is a probabilistic filter which SPV clients provide
+ * so that we can filter the transactions we send them.
+ *
+ * This allows for significantly more efficient transaction and block downloads.
+ *
+ * Because bloom filters are probabilistic, a SPV node can increase the false-
+ * positive rate, making us send it transactions which aren't actually its,
+ * allowing clients to trade more bandwidth for more privacy by obfuscating which
+ * keys are controlled by them.
+ */
+class CBloomFilter
+{
+private:
+ std::vector<unsigned char> vData;
+ unsigned int nHashFuncs;
+ unsigned int nTweak;
+ unsigned char nFlags;
+
+ unsigned int Hash(unsigned int nHashNum, Span<const unsigned char> vDataToHash) const;
+
+public:
+ /**
+ * Creates a new bloom filter which will provide the given fp rate when filled with the given number of elements
+ * Note that if the given parameters will result in a filter outside the bounds of the protocol limits,
+ * the filter created will be as close to the given parameters as possible within the protocol limits.
+ * This will apply if nFPRate is very low or nElements is unreasonably high.
+ * nTweak is a constant which is added to the seed value passed to the hash function
+ * It should generally always be a random value (and is largely only exposed for unit testing)
+ * nFlags should be one of the BLOOM_UPDATE_* enums (not _MASK)
+ */
+ CBloomFilter(const unsigned int nElements, const double nFPRate, const unsigned int nTweak, unsigned char nFlagsIn);
+ CBloomFilter() : nHashFuncs(0), nTweak(0), nFlags(0) {}
+
+ SERIALIZE_METHODS(CBloomFilter, obj) { READWRITE(obj.vData, obj.nHashFuncs, obj.nTweak, obj.nFlags); }
+
+ void insert(Span<const unsigned char> vKey);
+ void insert(const COutPoint& outpoint);
+
+ bool contains(Span<const unsigned char> vKey) const;
+ bool contains(const COutPoint& outpoint) const;
+
+ //! True if the size is <= MAX_BLOOM_FILTER_SIZE and the number of hash functions is <= MAX_HASH_FUNCS
+ //! (catch a filter which was just deserialized which was too big)
+ bool IsWithinSizeConstraints() const;
+
+ //! Also adds any outputs which match the filter to the filter (to match their spending txes)
+ bool IsRelevantAndUpdate(const CTransaction& tx);
+};
+
+/**
+ * RollingBloomFilter is a probabilistic "keep track of most recently inserted" set.
+ * Construct it with the number of items to keep track of, and a false-positive
+ * rate. Unlike CBloomFilter, by default nTweak is set to a cryptographically
+ * secure random value for you. Similarly rather than clear() the method
+ * reset() is provided, which also changes nTweak to decrease the impact of
+ * false-positives.
+ *
+ * contains(item) will always return true if item was one of the last N to 1.5*N
+ * insert()'ed ... but may also return true for items that were not inserted.
+ *
+ * It needs around 1.8 bytes per element per factor 0.1 of false positive rate.
+ * For example, if we want 1000 elements, we'd need:
+ * - ~1800 bytes for a false positive rate of 0.1
+ * - ~3600 bytes for a false positive rate of 0.01
+ * - ~5400 bytes for a false positive rate of 0.001
+ *
+ * If we make these simplifying assumptions:
+ * - logFpRate / log(0.5) doesn't get rounded or clamped in the nHashFuncs calculation
+ * - nElements is even, so that nEntriesPerGeneration == nElements / 2
+ *
+ * Then we get a more accurate estimate for filter bytes:
+ *
+ * 3/(log(256)*log(2)) * log(1/fpRate) * nElements
+ */
+class CRollingBloomFilter
+{
+public:
+ CRollingBloomFilter(const unsigned int nElements, const double nFPRate);
+
+ void insert(Span<const unsigned char> vKey);
+ bool contains(Span<const unsigned char> vKey) const;
+
+ void reset();
+
+private:
+ int nEntriesPerGeneration;
+ int nEntriesThisGeneration;
+ int nGeneration;
+ std::vector<uint64_t> data;
+ unsigned int nTweak;
+ int nHashFuncs;
+};
+
+#endif // BITCOIN_COMMON_BLOOM_H