Internally, all values are stored in _satoshi_, the base unit of the bitcoin currency, equal to 100th of a millionth of a bitcoin latexmath:[\( 1 satoshi = 1/100,000,000 bitcoin\)]. For example, Alice's transaction transferring 0.015 bitcoin to Bob for a cup of coffee, will be encoded in the blockchain with a value of one and a half million (1,500,000) satoshi.
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All value references in the book will indicate satoshi or bitcoin units as appropriate. Code segments showing encoded value should be assumed to be satoshi unless otherwise specified
Public key, or assymetric cryptography, is a type of cryptography that uses a pair of digital keys. A user has a private and a public key. The public key is derived from the private key with a mathematical function that is difficult to reverse.
[[pubcrypto_colors]]
.Public Key Cryptography: Irreversible Function as Color Mixing
image::images/pubcrypto-colors.png["Public Key Cryptography: Irreversible Function as Color Mixing"]
As an example, think of mixing a shade of yellow with a shade of blue. Mixing the two colors is simple. However, figuring out exactly which two shades went into the final mix is not so easy, unless you have one of the two shades. If you have one of the colors you can easily filter it out and get the other. Whereas mixing colors is easy, "un-mixing" them is hard. The mathematical equivalent most often used in cryptography is the Discrete Logarith Problem link$$https://en.wikipedia.org/wiki/Discrete_logarithm_problem#Cryptography$$[Discrete Logarithm Problem in Cryptography]
To use public key cryptography, Alice will ask Bob for his public key. Then, Alice can encrypt messages with Bob's public key, knowing that only Bob can read those messages, since only Bob has the equivalent private key.
In most implementations, the private and public keys are stored together as a _key pair_, for convenience. However, it is trivial to re-produce the public key if one has the private key, so storing only the private key is also possible.
Elliptic Curve Cryptography is a type of assymetric or public-key cryptography based on the discrete logarithm problem as expressed by addition and multiplication on the points of an elliptic curve.
Starting with a private key in the form of a randomly generator number +k+, we multiply it with a predetermined point on the curve called the _generator point_ to produce another point somewhere else on the curve, which is the corresponding public key.
where +k+ is the private key, +G+ is a fixed point on the curve called the _generator point_, ((("generator point"))) and +K+ is the resulting public key, another point on the curve.
Elliptic curve multiplication can be visualized geometrically as drawing a line connecting two points on the curve (G and kG) to produce a third point (K). The third point is the public key.
The +mod p+ indicates that this curve is over a finite field of prime order +p+, also written as latexmath:[\(\mathbb{F}_p\)]. The curve looks like a pattern of dots scattered in two dimensions, which makes it difficult to visualize. However, the math is identical as that of an elliptic curve over the real numbers shown above.
The first and most important step in generating keys is to find a secure source of entropy, or randomness. The private key is a 256-bit number, which must be selected at random. Creating a bitcoin key is essentially the same as "Pick a number between 1 and 2^256^". The exact method you use to pick that number does not matter, as long as it is not predictable or repeatable. Bitcoin software will use the underlying operating system's random number generators to produce 256-bits of entropy. Usually, the OS random number generator is initialized by a human source of randomness, which is why you may be asked to wiggle your mouse around for a few seconds. For the trully paranoid, nothing beats dice, pencil and paper.
The bitcoin private key is just a number. A public key can be generated from any private key. Therefore, a public key can be generated from any number, up to 256-bits long. You can pick your keys randomly using a method as simple as dice, pencil and paper.
Once a private key has been generated, the public key equivalent can be derived from it using the elliptic curve multiplication function. Many software implementations of bitcoin use the OpenSSL library, specifically the https://www.openssl.org/docs/crypto/ec.html[Elliptic Curve library].
.Reference Client: Using OpenSSL's EC_POINT_mul to generate the public key from a private key https://github.com/bitcoin/bitcoin/blob/0.8.4/src/key.cpp#L31[bitcoin/src/key.cpp : 31]
The size of bitcoin's private key, 2^256^ is a truly unfathomable number. It is equal to approximately 10^77^ in decimal. The visible universe contains approximately 10^80^ atoms.
This most basic form of key generation, generates what are known as _Type-0_ or _Non-Deterministic_ (ie. random) keys. When a sequence of keys is generated for a single user's wallet, each key is randomly generated when needed
[[Type0_chain]]
.Type-0 or Non-Deterministic Keys are randomly generated as needed
In simple terms, a transaction tells the network that the owner of a number bitcoins has authorized the transfer of some of those bitcoins to another owner. The new owner can now spend these bitcoins by creating another transaction that authorizes transfer to another owner, and so on, in a chain of ownership.
_Transactions_ move value from _transaction inputs_ to _transaction outputs_. An input is where the coins (value) is coming from, either a previous transaction's output or a miner's reward. An output "sends" value to a new owner by locking it with their key.
The transaction contains proof of ownership for each amount of bitcoin whose value is transfered, in the form of a digital signature from the owner, that can be independently validated by anyone. In bitcoin terms, "spending" is signing the value of a previous transaction for which you have the keys, over to a new owner.
At this point you may begin to wonder: "If every transaction refers to value in a previous transaction, where does the value come from originally?". All bitcoins are originally _mined_ (see <<mining>>). Each block contains a special transaction which is the first transaction in the block. This is called the _generation_ transaction and it generates bitcoin out of a special input, which is called the _coinbase_ and is reward for creating a new block. In simple terms, miners get the privilege of a magic transaction that create bitcoins from thin-air and pay those bitcoins to themselves. If you were to look at the chain of transaction for a bitcoin payment you have received, you can track the inputs to a previous transaction's output. Go back far enough and you will find the block where the bitcoins you hold today were once mined.
A transaction, in bitcoin terminology, also refers to the signed data structure that contains a series of inputs and outputs transferring value, as encoded in the blockchain or propagating on the bitcoin network. In the blockchain, a transaction is stored as a variable-lenght data structure, that contains an array of _transaction inputs_ and an array of _transaction outputs_.
.A transaction data structure, as stored in the blockchain
[options="header"]
|=======
|Part|Size|Description
|Version| 4 bytes | The transaction type version (default and only type value is 1)
|Number of Inputs | VarInt | How many inputs are listed below
|Inputs | List of Tx_In | One or more inputs, specifying where the value will come from
|Number of Outputs | VarInt | How many outputs are listed below
|Outputs | List of Tx_Out | One or more outputs, specifying where to "send" the value
|=======
From the perspective of Alice and Bob's transaction for the cup of coffee, the input would be Alice's coins from previous transactions and the output would be 0.015 BTC (or 1.5m satoshi) that would be "sent" to Bob's bitcoin address for payment of the coffee. Bob could then spend this bitcoin by creating transactions whose inputs refer to this transaction
s output. Each transaction's outputs become possible inputs for future transactions. What changes is who controls the keys that unlock them. For that we have to delve in a bit deeper into the data structure of the inputs and outputs themselves.
The input always refers to a previous transaction. In the case of Alice's coffee purchase, he wallet software would find a previous transaction that has a similar value, to minimize the need for generating change. Let's assume that Alice had previously been paid 0.02BTC by someone else. Her wallet will use that previous transaction to pay Bob for the coffee.
.Alice's transaction input
[options="header"]
|=======
|Part|Value|Description
|Previous Tx Hash| 643b0b82c0e88ffdfec6b64e3e6ba35e7ba5fdd7d5d6cc8d25c6b241501 | a hash used to identify a previous transaction
|Previous Tx Index| 0 | The first output of that transaction is 0
|Script Signature | 30450...6b241501 | A signature from Alice's key to unlock this value
In the input above, Alice sources the funds to pay for the coffee. In this case, all the funds come from a single output from a previous transaction. It is possible to construct transactions that source value from thousands of inputs, aggregating the value. A transaction can also have thousands of outputs, so the _Tx Index_ is used to identify which of the previous transaction's outputs will be "consumed" in this new transaction. In this case, Alice will be using the first transaction output.
You may notice that there is no value field in the input. That is because the *entire* value of the referenced output is consumed. You cannot use only part of an output, you must use the entire value. All the value from all the inputs listed in a transaction is aggregated and then disbursed to the various outputs, according to the value defined in those outputs. In attempting to pay Bob for coffee, Alice must create a transaction for the exact amount, even though she may not have "exact change" in the form of previous transactions that perfectly match. Alice will therefore have to either aggregate many smaller inputs (previous unspent outputs) to reach the price of the coffee, or use a larger input and then make some change back to her wallet. This is all done automatically by the wallet software, so Alice just sees the exact amount transacted, but behind the scenes there may be a flurry of inputs being aggregated and change returned.
For simplicity, Alice was lucky enough to have a perfectly matching previous transaction, so her wallet only needs one input for this coffee transaction.
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Inputs don't have a value field. That is because the outputs of a previous transaction can either be spent or unspent as a whole. You cannot use part of an output, you must use all of it. If you only need part of the value of a previous output, you must spend all of it and generate "change", by creating an new output for the excess value back to your own wallet.
====
.Alice's transaction output
[options="header"]
|=======
|Part|Value|Description
|Value| 1,500,000 | The value in satoshi to transfer to this output
|Script| OP_DUP OP_HASH160 <public key hash> OP_EQUALVERIFY OP_CHECKSIG | A script for spending this output
|=======
The second part of the transaction, is where Alice effectively pays Bob for the coffee. This is achieved by creating an output _that only Bob can spend_. In bitcoin, the script used to "lock" an output to a specific bitcoin address is +OP_DUP OP_HASH160 <public key hash> OP_EQUALVERIFY OP_CHECKSIG+, with +<public key hash>+ replaced by the public key of the recipient, in this case Bob's public key.
While this script looks rather complicated and confusing, it will be explained in great detail below (see <<script>>). This exact script is used in 99.99% of bitcoin transactions, as it expresses the simple goal of _"payable to whoever can generate a signature with the private key of this bitcoin address"_. With this output, Alice establishes a value of 0.015BTC "payable to Bob". Once this transaction is propagated on the network, included in a block and confirmed, Bob will be able to spend this output by constructing a transaction of his own.
[[script]]
==== Transaction Script
One of bitcoin's most powerful features is the ability to define the beneficiary of a transaction with a transaction scripting language that allows for very complex transactions and future enhancements. The bitcoin script language is Forth-like which means that it is a stack-based language. A stack is a logical construct that can be visualized as a stack of books. You can add one to the top, you can take one off the top. In a stack based language, values are added to a stack and then mathematical operations are applied to the items on that stack.
Here's a simple example, using a stack-language as a calculator. The script is evaluated from left to right. Numbers are added to the stack and operators manipulate them.
.Example of a calculator using a stack-based language
When the script starts, the number 2 is pushed onto the stack. In the second step, the number 3 is pushed on top of the stack. In the third step, the script reaches the oprator "+", which removes the two top values from the stack and replaces them with their sum. As we reach the fifth step, the stack contains the result of the previous calculations and the number 4 is added on top. Finally, the multiplier operator in the sixth step will remove the two topmost values and multiply them, putting the result on the top of the stack.
In bitcoin, the transaction script language has more complex operators than addition and multiplication, but otherwise operates in exactly the same way as the simple calculator example above. Examining the transaction above we see that Bob has an unspent output that is locked with the script +OP_DUP OP_HASH160 <public key hash> OP_EQUALVERIFY OP_CHECKSIG+. Bob must provide a _script signature_ or _scriptSig_ to unlock this output and spend it.
When a transaction is being validated, each of its inputs will be validated in turn to confirm that they are unspent and that they script signatures provided unlock these inputs. Each node in the bitcoin network can independently validate any transaction by combining the script signature and script and evaluating them using the stack processing language. If the end result evaluates as +TRUE+, then the transaction is valid.
The stack process above will first make a copy of the supplied public key and compare it's hash to the public key hash that was used to lock the previous output. If those match, the signature is verified by against the public key. This proves that the owner of the public key created this signature, therefore is authorised to spend the output.
The very first block mined, by Satoshi Nakamoto on Sat, 03 Jan 2009, is included in the source code of any "full node" client, as the basis for validating the entire blockchain.
.The Genesis Block, statically encoded in the source code of the reference client https://github.com/bitcoin/bitcoin/blob/master/src/chainparams.cpp#L120[bitcoin/src/chainparams.cpp:line 120]
Bitcoin is secured through computation and consensus. For a new block of transactions to be added to the network, someone must first find a solution to a specific mathematical problem called the _proof of work_. Bitcoin's proof-of-work algorithm is based on the Secure Hash Algorithm (SHA-256) and consists of trying to generate a block whose hash is less than a specific number. Let's see how this works in practice.
A hashing algorithm is a cryptographic function that takes an arbitrary length input (a text message or binary file), and produce a fixed-size output called the _hash_ or _digest_. It is trivial to verify the hash of any input, but it is computationally infeasible to predict or select an input to produce a desired hash. It's a one-way function, so it can easily work one way but is impossible to reverse.
[[figure_sha256_logical]]
.The Secure Hash Algorithm (SHA-256)
image::images/sha256-logical.png["SHA256"]
With SHA-256, the output is always 256 bits long, regardless of the size of the input. In the example below, we will use the Python interpreter to calculate the SHA256 hash of the phrase "I am Satoshi Nakamoto".
The example shows that if we calculate the hash of the phrase +"I am Satoshi Nakamoto"+, it will produce +5d7c7ba21cbbcd75d14800b100252d5b428e5b1213d27c385bc141ca6b47989e+. This 256-bit number is the _hash_ or _digest_ of the phrase and depends on every part of the phrase. Adding a single letter, punctuation mark or any character will produce a different hash.
Now, if we vary the phrase, we will expect to see completely different hashes. Let's try that by adding a number to the end of our phrase, using this simple Python script
[[sha256_example_generator]]
.SHA256 A script for generating many hashes by iterating on a nonce
====
[source, python]
----
include::code/hash_example.py[]
----
====
Running this will produce the hashes of several phrases, made different by adding a unique number, called a _nonce_ at the end of the text. By incrementing the nonce, we can get different hadhes.
Each phrase produces a completely different hash result. They seem completely random, but you can re-produce the exact results in this example on any computer with Python and see the same exact hashes.
To make a challenge out of this algorithm, let's set an arbitrary target: find a phrase starting with "I am Satoshi Nakamoto" which produces a hash that starts with a zero. In numerical terms, that means finding a hash value that is less than +0x1000000000000000000000000000000000000000000000000000000000000000+. Fortunately, this isn't so difficult! If you notice above, we can see that the phrase "I am Satoshi Nakamoto13" produces the hash 0ebc56d59a34f5082aaef3d66b37a661696c2b618e62432727216ba9531041a5, which fits our criteria. It only took 13 attempts to find it.
Bitcoin's proof-of-work is very similar to the problem above. First, a miner will generate a new block, containing:
The only part a miner can modify is the nonce. Now, the miner will calculate the hash of this block's header and see if it is smaller than the current _target difficulty_. The miner will likely have to try many nonces before finding one that results in a low enough hash.
A very simplified proof-of-work algorithm is implemented in Python here:
Running the code above, you can set the desired difficulty (in bits, how many of the leading bits must be zero) and see how long it takes for your computer to find a solution. In the following examples, you can see how it works on an average laptop:
[[pow_example_outputs]]
.Running the proof-of-work example for various difficulties
As you can see, increasing the difficulty by 1 bit causes an exponential increase in the time it takes to find a solution. If you think of the entire 256-bit number space, each time you constrain one more bit to zero, you decrease the search space by half. In the example above, it takes 84 million hash attempts to find a nonce that produces a hash with 26 leading bits as zero. Even at a speed of more than 120 thousand hashes per second, it still requires ten minutes on a consumer laptop to find this solution.
At the time of writing this, the network is attempting to find a block whose header hash is less than +000000000000004c296e6376db3a241271f43fd3f5de7ba18986e517a243baa7+. As you can see, there are a lot of zeroes at the beginning of that hash, meaning that the acceptable range of hashes is much smaller, hence more difficult to find a valid hash. It will take on average more 150 quadrillion hash calculations per second for the network to discover the next block. That seems like an impossible task, but fortunately the network is bringing 500 TH/sec of processing power to bear, which will be able to find a block in about 10 minutes on average.
==== Diificulty Adjustment
Bitcoin is tuned to generate blocks approximately every 10 minutes. This is achieved by automatically adjusting the target difficulty to account for increases and decreases in the available computing power on the network. This process occurs automatically and on every node independently. Each node recalculates the expected difficulty every 2106 blocks, based on the time it took to hash the previous 2106 blocks. In simple terms: If the network is finding blocks faster than every 10 minutes, the difficulty increases. If block discovery is slower than expected, the difficulty will decrease.
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The difficulty of finding a bitcoin block is approximately '10 minutes of processing' for the entire network, based on the time it took to find the previous 2106 blocks, adjusted every 2106 blocks. If you know the processing power of the network in hashes per second, you can calculate how many hashes per 10 minutes, which is how many on avergae to find a block, ie. the current difficulty.
