Transactions are signed messages originated by an externally owned account, transmitted by the Ethereum network and recorded (mined) on the Ethereum blockchain. Behind that basic definition, there are a lot of surprising and fascinating details. Another way to look at transactions is that they are the only thing that can trigger a change of state or cause a contract to execute in the EVM. Ethereum is a global singleton state machine, and transactions are the only thing that can make that state machine "tick", changing its state. Contracts don’t run on their own. Ethereum doesn’t run "in the background". Everything starts with a transaction.
In this section we will dissect transactions, show how they work and understand the details.
First let’s take a look at the basic structure of a transaction, as it is serialized and transmitted on the Ethereum network. Each client and application that receives a serialized transaction will store it in-memory using it’s own internal data structure, perhaps embelished with metadata that doesn’t exist in the network serialized transaction itself. The network serialization of a transaction is therefore the only common standard of a transaction’s structure.
A transaction is an serialized binary message that contains the following data:
- nonce
-
A sequence number, issued by the originating EOA, used to prevent message replay.
- gas price
-
The price of gas (in wei) the originator is willing to pay.
- start gas
-
The maximum amount of gas the originator is willing to pay.
- to
-
Destination Ethereum address.
- value
-
Amount of ether to send to destination.
- data
-
Variable length binary data payload.
- v,r,s
-
The three components of an ECDSA signature of the originating EOA.
The transaction message’s structure is serialized using the Recursive Length Prefix (RLP) encoding scheme (see [rlp]), which was created specifically for accurate and byte-perfect data serialization in Ethereum. All numbers in Ethereum are encoded a big-endian integers, of lengths that are multiples of 8 bits.
Note that the field labels ("to", "start gas", e.t.c.) are shown here for clarity, but are not part of the transaction serialized data, which contains the field values RLP-encoded. In general, RLP does not contain any field delimiters or labels. RLP’s length prefix is used to identify the length of each field. Anything beyond the defined length, therefore, belongs to the next field in the structure.
While this is the actual transaction structure transmitted, most internal representations and user-interface visualizations embellish this with additional information, derived from the transaction or from the blockchain.
For example you may notice there is no "from" data in the address identifying the originator EOA. That EOA’s public key can easily be derived from the v,r,s components of the ECDSA signature. The address can, in turn, be easily derived from the public key. When you see a transaction showing a "from" field, that was added by the software used to visualize the transaction. Other metadata frequently added to the transaction by client software include the block number (once it is mined) and a transaction ID (calculated hash). Again, this data is derived from the transaction and not part of the transaction message itself.
The nonce is one of the most important and least understood components of a transaction. The definition in the Yellow Paper (see [yellow_paper]) reads:
nonce: A scalar value equal to the number of transactions sent from this address or, in the case of accounts with associated code, the number of contract-creations made by this account.
Strictly speaking, the nonce is an attribute of the originating address, but nonces are seen only in transactions.
In practical terms, the nonce is an up-to-date count of the number of confirmed (mined) transactions that have originated from an account. To find out what the nonce is, you can interrogate the blockchain, for example via the web3 interface:
web3.eth.getTransactionCount("0x9e713963a92c02317a681b9bb3065a8249de124f")
40
|
Tip
|
The nonce is zero-based counter, meaning the first transaction has nonce 0. In Retrieving the transaction count of our example address, we have a transaction count of 40, meaning nonces 0 through 39 have been seen. The next transaction’s nonce will be 40. |
Your wallet will keep track of nonces for each address it manages. It’s fairly simple to do that, as long as you are only originating transactions from a single point. Let’s say you are writing your own wallet software or some other application that originates transactions. How do you track nonces?
When you create a new transaction, you assign the next nonce in the sequence. But until it is confirmed, it will not count towards the getTransactionCount total.
Unfortunately, the getTransactionCount function will run into some problems if we send a few transactions in a row. There is a known bug where getTransactionCount does not count pending transactions correctly. Let’s look at an example:
web3.eth.getTransactionCount("0x9e713963a92c02317a681b9bb3065a8249de124f", "pending")
40
web3.eth.sendTransaction({from: web3.eth.accounts[0], to: "0xB0920c523d582040f2BCB1bD7FB1c7C1ECEbdB34", value: web3.toWei(0.01, "ether")});
web3.eth.getTransactionCount("0x9e713963a92c02317a681b9bb3065a8249de124f", "pending")
41
web3.eth.sendTransaction({from: web3.eth.accounts[0], to: "0xB0920c523d582040f2BCB1bD7FB1c7C1ECEbdB34", value: web3.toWei(0.01, "ether")});
web3.eth.getTransactionCount("0x9e713963a92c02317a681b9bb3065a8249de124f", "pending")
41
web3.eth.sendTransaction({from: web3.eth.accounts[0], to: "0xB0920c523d582040f2BCB1bD7FB1c7C1ECEbdB34", value: web3.toWei(0.01, "ether")});
web3.eth.getTransactionCount("0x9e713963a92c02317a681b9bb3065a8249de124f", "pending")
41
As you can see, the first transaction we sent increased the transaction count to 41, showing the pending transaction. But when we sent 3 more transactions in quick succession, the getTransactionCount call didn’t count them correctly. It only counted one, even though there are 3 pending in the mempool. If we wait a few seconds, once a block is mined, the getTransactionCount call will return the correct number. But in the interim, while there are more than one transactions pending, it does not help us.
When you build an application that constructs transactions, it cannot rely on getTransactionCount for pending transactions. Only when pending and confirmed are equal (all outstanding transactions are confirmed) can you trust the output of getTransactionCount to start your nonce counter. Thereafter, keep track of the nonce in your application until each transaction confirms.
Parity’s JSON RPC interface offers the parity_nextNonce function, that returns the next nonce that should be used in a transaction. The parity_nextNonce function counts nonces correctly, even if you construct several transactions in rapid succession, without confirming them.
Parity has a web console for accessing the JSON RPC interface, but here we are using a command line HTTP client to access it:
curl --data '{"method":"parity_nextNonce","params":["0x9e713963a92c02317a681b9bb3065a8249de124f"],"id":1,"jsonrpc":"2.0"}' -H "Content-Type: application/json" -X POST localhost:8545
{"jsonrpc":"2.0","result":"0x32","id":1}
It is important to keep track of nonces if you are creating transactions programmaticaly, especially if you are doing so from multiple independent processes simultaneously.
The Ethereum network processes transactions sequentially, based on the nonce. That means that if you transmit a transaction with nonce 0 and then transmit a transaction with nonce 2, the second transaction will not be mined. It will be stored in the mempool, while the Ethereum network waits for the missing nonce to appear. All nodes will assume that the missing nonce has simply been delayed and that the transaction with nonce 2 was received out-of-sequence.
If you then transmit a transaction with the missing nonce 1, both transactions (nonces 1 and 2) will be mined. Once you fill the gap, the network can mine the out-of-sequence transaction that it held in the mempool.
What this means is that if you create several transactions in sequence and one of them does not get mined, all the subsequent transactions will be "stuck", waiting for the missing nonce. A transaction can create an inadvertent "gap" in the nonce sequence because it is invalid or has insufficient gas. To get things moving again, you have to transmit a valid transaction with the missing nonce.
If on the other hand you accidentally duplicate a nonce, for example by transmitting two transactions with the same nonce, but different recipients or values, then one of them will be confirmed and one will be rejected. Which one is confirmed will be determined by the sequence in which they arrive at the first validating node that receives them.
As you can see, keeping track of nonces is necessary and if your application doesn’t manage that process correctly, you will run into problems. Unfortunately, things get even more difficult if you are trying to do this concurrently, as we will see in the next section.
Concurrency is a complex aspect of computer science, and it crops up unexpectedly sometimes, especially in decentralized/distributed real-time systems like Ethereum.
In simple terms, concurrency is when you have simultaneous computation by multiple independent systems. These can be in the same program (e.g. threading), on the same CPU (e.g. multi-processing), or on different computers (i.e. distributed systems). Ethereum, by definition, is a system that allows concurrency of operations (nodes, clients, dapps), but enforces a singleton state (e.g. there is only one common/shared state of the system at each mined block).
Now, imagine that we have multiple independent wallet applications that are generating transactions from the same address or addresses. One example of such a situation would be an exchange processing withdrawals for a hot wallet. Ideally, you’d want to have more than one computer processing withdrawals, so that it doesn’t become a bottleneck or single point of failure. However, this quickly becomes problematic, as having more than one computer producing withdrawals will result in some thorny concurrency problems, not least of which is the selection of nonces. How do multiple computers generating, signing and broadcasting transactions from the same hot wallet account coordinate?
You could use a single computer to assign nonces, on a first-come first-served basis to computers signing transactions. However, this computer is now a single-point of failure. Worse, if several nonces are assigned and one of them never gets used (because of a failure in the computer processing the transaction with that nonce), all of the subsequent ones get stuck.
You could generate the transactions, but don’t sign them or assign a nonce to them. Then queue them to a single node that signs them and also keeps track of nonces. Again, you have a single point of failure. The signing and tracking of nonces is the part of your operation that is likely to become congested under load, whereas the generation of unsigned transaction is the part you don’t really need to parallelize. You have concurrency, but you don’t have it in any useful part of the process.
In the end, these concurrency problems, on top of the difficulty of tracking account balances and transaction confirmation in independent processes, force most implementations towards avoiding concurrency and creating bottlenecks such as a single process handling all withdrawal transactions in an exchange.
We discuss gas in detail in [gas]. However, let’s cover some basics about the role of the gasPrice and startGas components of a transaction.
Gas is the fuel of Ethereum. Gas is not ether - it’s a separate virtual currency with an exchange rate vis-a-vis ether. Ethereum uses gas to control the amount of resources that a transaction can spend, since it will be processed on thousands of computers around the world. The open-ended (Turing complete) computation model requires some form of metering in order to avoid denial of service attacks or inadvertent resource-devouring transactions.
Gas is separate from ether, in order to protect the system from volatility that might arise from rapid changes in the value of ether.
The gasPrice field in a transaction allows the transaction originator to set the exchange rate of each unit of gas. Gas price is measured in wei per gas unit. For example, in a transaction we recently created for an example in this book, our wallet had set the gasPrice to 3 Gwei (3 Giga-wei, 3 billion wei).
The popular site ethgasstation.info provides information on the current prices of gas, and other relevant gas metrics for the Ethereum main network:
Wallets can adjust the gasPrice in transactions they originate, to achieve faster confirmation (mining) of transactions. The higher the gasPrice, the faster the transaction is likely to confirm. Conversely, lower priority transactions can carry a reduced price they are willing to pay for gas, resulting in slower confirmation. The minimum gasPrice that can be set is zero, which means a fee-free transaction. During periods of low demand for space in a block, such transactions will get mined.
|
Tip
|
The minimum acceptable gasPrice is zero. That means that wallets can generate completely free transactions. Depending on capacity, these may never be mined, but there is nothing in the protocol that prohibits free transactions. You can find several examples of such transactions successfully mined in the Ethereum blockchain. |
The web3 interface offers a gasPrice suggestion, by calculating a median price across several blocks:
truffle(mainnet)> web3.eth.getGasPrice(console.log)
truffle(mainnet)> null BigNumber { s: 1, e: 10, c: [ 10000000000 ] }
The second important field related to gas, is startGas. This is explained in more detail in [gas]. In simple terms, startGas defines how many units of gas the transaction originator is willing to spend to complete the transaction. For simple payments, meaning transactions that transfer ether from one EOA to another EOA, the gas amount needed is fixed at 21,000 gas units. To calculate how much ether that will cost, you multiply 21,000 with the gasPrice you’re willing to pay:
truffle(mainnet)> web3.eth.getGasPrice(function(err, res) {console.log(res*21000)} )
truffle(mainnet)> 210000000000000
If your transaction’s destination address is a contract, then the amount of gas needed can be estimated but cannot be determined with accuracy. That’s because a contract can evaluate different conditions that lead to different execution paths, with different gas costs. That means that the contract may execute only a simple computation or a more complex one depending on conditions that are outside of your control and cannot be predicted. To demonstrate this let’s use a rather contrived example: each time a contract is called it increments a counter and on the 100th time (only) it computes something complex. If you call the contract 99 times one thing happens, but on the 100th something completely different happens. The amount of gas you would pay for that depends on how many other transactions have called that function before your transaction is mined. Perhaps your estimate is based on being the 99th transaction and just before your transaction is mined, someone else calls the contract for the 99th time. Now you’re the 100th transaction to call and the computation effort (and gas cost) is much higher.
To borrow a common analogy used in Ethereum, you can think of startGas as the fuel tank in your car (your car is the transaction). You fill the tank with as much gas as you think it will need for the journey (the computation needed to validate your transaction). You can estimate the amount to some degree, but there might be unexpected changes to your journey such as a diversion (a more complex execution path), which increase fuel consumption.
The analogy to a fuel tank is somewhat misleading, however. It’s more like a credit account for a gas station company, where you pay after the trip is completed, based on how much gas you actually used. When you transmit your transaction, one of the first validation steps is to check that the account it originated from has enough ether to pay the gasPrice * startGas fee. But the amount is not actually deducted from your account until the end of the transaction execution. You are only billed for gas actually consumed by your transaction at the end, but you have to have enough balance for the maximum amount you are willing to pay before you send your transaction.
The recipient of a transaction is specified in the to field. This contains a 20-byte Ethereum address. The address can be an EOA or a contract address.
Ethereum does no further validation of this field. Any 20-byte value is considered valid. If the 20-byte value corresponds to an address without a corresponding private key, or without a corresponding contract, the transaction is still valid. Ethereum has no way of knowing whether an address was correctly derived from a public key (and therefore from a private key).
|
Warning
|
Ethereum cannot and does not validate recipient addresses in transaction. You can send to an address that has no corresponding private key or contract, thereby "burning" the ether, rendering it forever unspendable. Validation should be done at the user-interface level. |
Sending a transaction to an invalid address will burn the ether sent, rendering it forever inaccessible (unspendable), since no signature can be generated to spend it. It is assumed that validation of the address happens at the user-interface level (see [eip-55] or [icap]). In fact, there are a number of valid reasons for burning ether, including as a game-theory disincentive to cheating in payment channels and other smart contracts.
The main "payload" of a transaction is contained in two fields: value and data. Transactions can have both value and data, only value, only data, or neither value nor data. All four combinations are valid.
A transaction with only value is a payment. A transaction with only data is an invocation. A transaction with neither value nor data, well that’s probably just a waste of gas! But it is still possible.
Let’s try all of the above combinations:
First, we set the source and destination addresses from our wallet, just to make the demo easier to read:
src = web3.eth.accounts[0];
dst = web3.eth.accounts[1];web3.eth.sendTransaction({from: src, to: dst, value: web3.toWei(0.01, "ether"), data: ""});Our wallet shows a confirmation screen, indicating the value to send, and no data payload:
web3.eth.sendTransaction({from: src, to: dst, value: web3.toWei(0.01, "ether"), data: "0x1234"});Our wallet shows a confirmation screen, indicating the value to send and a data payload:
web3.eth.sendTransaction({from: src, to: dst, value: 0, data: "0x1234"});Our wallet shows a confirmation screen, indicating the value as 0 and a data payload:
When you construct an Ethereum transaction that contains value, in other words a payment, it will behave differently depending on whether the destination address is a contract, or not.
For EOA addresses, or rather for any address that isn’t registered as a contract on the blockchain, Ethereum will record a state change, adding the value you sent to the balance of the address. If the address has not been seen before, it will be created and its balance initialized to the value of your payment.
If the destination address (to) is a contract, then the EVM will execute the contract and attempt to call the function named in the data payload of your transaction (see [invocation]). If there is no data payload in your transaction, the EVM will call the destination contract’s fallback function and, if that function is payable, will execute it to determine what to do next.
A contract can reject incoming payments by throwing an exception immediately when the payable function is called, or as determined by conditions coded in the payable function. If the payable function terminated successfully (without an exception), then the contract’s state is updated to reflect an increase in the contract’s ether balance.
When your transaction contains a data payload, it is most likely addressed to a contract address. That doesn’t mean you cannot send a data payload to an EOA. In fact, you can do that. However, in that case, the interpretation of the data payload is up to the wallet you use to access the EOA. Most wallets ignore any data payload received in a transaction to an EOA they control. In the future, it is possible that standards may emerge that allow wallets to interpret data payload encodings the way contracts do, thereby allowing transactions to invoke functions running inside user wallets. The critical difference is that any interpretation of the data payload by an EOA, is not subject to Ethereum’s consensus rules, unlike a contract execution.
For now, let’s assume your transaction is delivering a data payload to a contract address. In that case, the data payload will be interpreted by the EVM as function invocation, calling the named function and passing any encoded arguments to the function.
The data payload sent to a contract is a hex-serialized encoding of:
- A function selector
-
The first 4 bytes of the Keccak256 hash of the function’s prototype. This allows the EVM to unambiguously identify which function you wish to invoke.
- The function arguments
-
The function’s arguments, encoded according to the rules for the various elementary types defined by the EVM.
Let’s look at a simple example, drawn from our [solidity_faucet_example]. In Faucet.sol, we defined a single function for withdrawals:
function withdraw(uint withdraw_amount) public {
The prototype of the withdraw function is defined as the string containing the name of the function, followed by the data type of each of its arguments enclosed in parenthesis and separated by a single comma. The function name is withdraw and it takes a single argument that is a uint (which is an alias for uint256). So the prototype of withdraw would be:
withdraw(uint256)
Let’s calculate the Keccak256 hash of serializedTxthis string (we can use the truffle console or any JavaScript web3 console to do that):
web3.sha3("withdraw(uint256)");
'0x2e1a7d4d13322e7b96f9a57413e1525c250fb7a9021cf91d1540d5b69f16a49f'
The first 4 bytes of the hash are 0x2e1a7d4d. That’s our "function selector" value, which will tell the EMV which function we want to call.
Next, let’s calculate a value to pass as the argument withdraw_amount. We want to withdraw 0.01 ether. Let’s encode that to a hex-serialized big-endian unsigned 256-bit integer, denominated in wei:
withdraw_amount = web3.toWei(0.01, "ether"); '10000000000000000' withdraw_amount_hex = web3.toHex(withdraw_amount); '0x2386f26fc10000'
Now, we add the function selector to the amount (padded to 32 bytes):
2e1a7d4d000000000000000000000000000000000000000000000000002386f26fc10000
That’s the data payload for our transaction, invoking the withdraw function and requesting 0.01 ether as the withdraw_amount.
There is one special case of a transaction with a data payload and no value. This is a transaction the registers a new contract. Contract registration transactions are sent to a special destination address, the zero address. In simple terms, the to field in a contract registration transaction contains the address 0x0. This address represents neither an EOA (there is no corresponding private/public key pair) nor a contract. It can never spend ether or initiate a transaction. It is only used as a destination, with the special meaning "register this contract".
A contract registration transaction should contain no ether value, only a data payload that contains the compiled bytecode of the contract. The only effect of this transaction is to register the contract.
TODO Add example, show in web3 console and etherscan
While the zero address is only intended for contract registration, it sometimes receives payments from various addresses. There are two explanations for this: either it is by accident, resulting in the loss of ether, or it is an intentional ether burn (see [burning_ether]). If you want to do an intentional ether burn, you should make your intention clear to the network and use the specially designated burn address instead:
0x000000000000000000000000000000000000dEaD
|
Warning
|
Any ether sent to the contract registration address 0x0 or the designated burn address 0x0...dEaD above will become unspendable and lost forever. |
So far, we have not delved into any detail about "digital signatures." In this section we look at how digital signatures work and how they can present proof of ownership of a private key without revealing that private key.
The digital signature algorithm used in Ethereum is the Elliptic Curve Digital Signature Algorithm, or ECDSA. ECDSA is the algorithm used for digital signatures based on elliptic curve private/public key pairs, as described in [elliptic_curve].
A digital signature serves three purposes in Ethereum (see the following sidebar). First, the signature proves that the owner of the private key, who is by implication the owner of an Ethereum account, has authorized the spending of ether, or execution of a contract. Secondly, the proof of authorization is undeniable (nonrepudiation). Thirdly, the signature proves that the transaction data have not and cannot be modified by anyone after the transaction has been signed.
A digital signature is a mathematical scheme for demonstrating the authenticity of a digital message or documents. A valid digital signature gives a recipient reason to believe that the message was created by a known sender (authentication), that the sender cannot deny having sent the message (nonrepudiation), and that the message was not altered in transit (integrity).
A digital signature is a mathematical scheme that consists of two parts. The first part is an algorithm for creating a signature, using a private key (the signing key), from a message (the transaction). The second part is an algorithm that allows anyone to verify the signature, given also the message and a public key.
In Ethereum’s implementation of the ECDSA algorithm, the "message" being signed is the transaction, or more accurately the Keccak256 hash of the RLP-encoded data from the transaction. The signing key is the EOA’s private key. The result is the signature:
\(\(Sig = F_{sig}(F_{keccak256}(m), k)\)\)
where:
-
k is the signing private key
-
m is the RLP-encoded transaction
-
Fkeccak256 is the Keccak256 hash function
-
Fsig is the signing algorithm
-
Sig is the resulting signature
More details on the mathematics of ECDSA can be found in ECDSA Math.
The function Fsig produces a signature Sig that is composed of two values, commonly referred to as R and S:
Sig = (R, S)
To verify the signature, one must have the signature (R and S), the serialized transaction, and the public key (that corresponds to the private key used to create the signature). Essentially, verification of a signature means "Only the owner of the private key that generated this public key could have produced this signature on this transaction."
The signature verification algorithm takes the message (a hash of the transaction or parts of it), the signer’s public key and the signature (R and S values), and returns TRUE if the signature is valid for this message and public key.
As mentioned previously, signatures are created by a mathematical function Fsig that produces a signature composed of two values R and S. In this section we look at the function Fsig in more detail.
The signature algorithm first generates an ephemeral (temporary) private/public key pair. This temporary key pair is used in the calculation of the R and S values, after a transformation involving the signing private key and the transaction hash.
The temporary key pair is based on a random number p, which is used as the temporary private key. From p, we generate the corresponding temporary public key P (calculated as P = p*G, in the same way Ethereum public keys are derived; see [pubkey]). The R value of the digital signature is then the x coordinate of the ephemeral public key P.
From there, the algorithm calculates the S value of the signature, such that:
S = p-1 (Keccak256(m) + k * R) mod p
where:
-
p is the ephemeral private key
-
R is the x coordinate of the ephemeral public key
-
k is the signing (EOA owner’s) private key
-
m is the transaction data
-
p is the prime order of the elliptic curve
Verification is the inverse of the signature generation function, using the R, S values and the public key to calculate a value P, which is a point on the elliptic curve (the ephemeral public key used in signature creation):
P = S-1 * Keccak256(m) * G + S-1 * R * K
where:
-
R and S are the signature values
-
K is the signer’s (EOA owner’s) public key
-
m is the transaction data that was signed
-
G is the elliptic curve generator point
If the x coordinate of the calculated point P is equal to R, then the verifier can conclude that the signature is valid.
Note that in verifying the signature, the private key is neither known nor revealed.
|
Tip
|
ECDSA is necessarily a fairly complicated piece of math; a full explanation is beyond the scope of this book. A number of great guides online take you through it step by step: search for "ECDSA explained" or try this one: http://bit.ly/2r0HhGB. |
To produce a valid transaction, the originator must apply a digital signature to the message, using the Elliptic Curve Digital Signature algorithm. When we say "sign the transaction", we actually mean "sign the Keccak256 hash of the RLP serialized transaction data". The signature is applied to the hash of the transaction data, not the transaction itself.
|
Tip
|
At block # 2,675,000, Ethereum implemented the "Spurious Dragon" hard fork that, among other changes, introduced a new signing scheme that includes transaction replay protection. This new signing scheme is specified in EIP-155 (see [eip155]). This change affects the first step of the signing process, adding three fields (v, r, s) to the transaction before signing. |
To sign a transaction in Ethereum, the originator must:
-
Create a transaction data structure, containing the nine fields: nonce, gasPrice, startGas, to, value, data, v, r, s
-
Produce an RLP-encoded serialized message of the transaction from
-
Compute the Keccak256 hash of this serialized message
-
Compute the ECDSA signature, signing the hash with the originating EOA’s private key
-
Insert the ECDSA signature’s computed r and s values in the transaction
Let’s create a raw transaction and sign it, using the ethereumjs-tx library. The source code for this example is in raw_tx_demo.js in the GitHub repository:
link:code/web3js/raw_tx/raw_tx_demo.js[role=include]
Download it here: https://github.com/ethereumbook/ethereumbook/blob/develop/code/web3js/raw_tx/raw_tx_demo.js
Run the example code:
$ node raw_tx_demo.js RLP-Encoded Tx: 0xe6808609184e72a0008303000094b0920c523d582040f2bcb1bd7fb1c7c1ecebdb348080 Tx Hash: 0xaa7f03f9f4e52fcf69f836a6d2bbc7706580adce0a068ff6525ba337218e6992 Signed Raw Transaction: 0xf866808609184e72a0008303000094b0920c523d582040f2bcb1bd7fb1c7c1ecebdb3480801ca0ae236e42bd8de1be3e62fea2fafac7ec6a0ac3d699c6156ac4f28356a4c034fda0422e3e6466347ef6e9796df8a3b6b05bed913476dc84bbfca90043e3f65d5224
The EIP-155 "Simple Replay Attack Protection" standard specifies a replay-attack-protected transaction encoding, which includes a chain identifier inside the transaction data, prior to signing. This ensures that transactions created for one blockchain (e.g. Ethereum main network) are invalid on another blockchain (e.g. Ethereum Classic or Ropsten test network). Therefore, transactions broadcast on one network cannot be replayed on another, hence the "replay attack protection" name of the standard.
EIP-155 adds three fields to the transaction data structure, v, r, and s. The r and s fields are initialized to zero. These three fields are added to the transaction data before it is encoded and hashed. The three additional fields therefore change the transaction’s hash, to which the signature is later applied. By including the chain identifier in the data being signed, the transaction signature prevents any changes, as the signature is invalidated if the chain identifier is modified. Therefore, EIP-155 makes it impossible for a transaction to be replayed on another chain, because the signature’s validity depends on the chain identifier.
The v signature prefix field is initialized to the chain identifier, with values:
Chain |
Chain ID |
|
Ethereum main net |
1 |
|
Morden (obsolete), Expanse |
2 |
|
Ropsten |
3 |
|
Rinkeby |
4 |
|
Rootstock main net |
30 |
|
Rootstock test net |
31 |
|
Kovan |
42 |
|
Ethereum Classic main net |
61 |
|
Ethereum Classic test net |
62 |
|
Geth private testnets |
1337 |
The resulting transaction structure is RLP-encoded, hashed and signed. The signature algorithm is modified slightly to encode the chainID in the v prefix, too.
For more details, see the EIP-155 specification: https://github.com/ethereum/EIPs/blob/master/EIPS/eip-155.md
As mentioned in Structure of Transaction, the transaction message doesn’t include any "from" field. That’s because the originator’s public key can be computed directly from the ECDSA signature. Once you have the public key, you can compute the address easily. The process of recovering the signer’s public key is called a Publik Key Recovery.
Given the values r and s, that were computed in ECDSA Math, we can compute two possible public keys, only one of which will produce a valid P result in our ECDSA verification function. The one that produces a valid P is the correct public key.
First, we compute two elliptic curve points R and R', from the x-coordinate r value that is in the signature. There are two points, because the elliptic curve is symmetric across the x-axis, so that for any value x, there are two possible values that fit the curve, on either side of the x-axis.
From r, we also calculate r^-1^ which is the multiplicative-inverse of r.
Finally we calculate z, which is the n-lowest bits of the message hash, where n is the order of the elliptic curve.
The two possible public keys are then:
K1 = r-1 (sR - zG)
and
K2 = r-1 (sR' - zG)
where: * K1 and K2 are the two possibilities for the signer’s public key * r-1 is the multiplicative-inverse of signature’s r value * s is the signature’s s value * R and R' are the two possibilities for the ephemeral public key * z are the n-lowest bits of the message hash * G is the generator point
Plug each of the two possible K values into the signature verification function and one will verify - that’s the owner’s public key.
To make things even easier, the transaction signature includes a prefix value v, which tells us which of the two possible R values are the ephemeral public key. If v is even, then R is the correct value. If v is odd, then R'. That way, we need to calculate only one value for R and only one value for K, making the process a bit simpler.
Once a transaction is signed, it is ready to transmit to the Ethereum network. The three steps of creating, signing, and broadcasting a transaction normally happen in a single function, for example using web3.eth.sendTransaction. However, as we saw in Raw transaction creation and signing, you can create and sign the transaction in two separate steps. Once you have a signed transaction, you can then transmit it using web3.eth.sendSignedTransaction which takes a hex-encoded and signed transaction message and transmits it on the Ethereum network.
Why would you want to separate the signing and transmission of transactions? The most common reason is security: the computer that signs a transaction must have unlocked private keys loaded in memory. The computer that transmits must be connected to the internet and be running an Ethereum client. If these two functions are on one computer, then you have private keys on an online system, which is quite dangerous. Separating the functions of signing and transmitting is called offline signing and is a common security practice.
Depending on the level of security you need, your "offline signing" computer can have varying degrees of separation from the online computer, ranging from an isolated and firewalled subnet (online but segregated) to a completely offline system known as an air-gapped system. In an air-gapped system there is no network connectivity at all - the computer is separated from the online environment by a gap of "air". To sign transactions you transfer them to and from the air-gapped computer using data storage media or (better) a webcam and QR code. Of course, this means you must manually transfer every transaction you want signed, and this doesn’t scale.
While not many environments can utilize a fully air-gapped system, even a small degree of isolation has significant security benefits. For example, an isolated subnet with a firewall that only allows a message-queue protocol through, can offer a much reduced attack surface and much higher security than signing on the online system. Many companies use a protocol such as ZeroMQ (0MQ), as it offers a reduced attack surface for the signing computer. With a setup like that, transactions are serialized and queued for signing. The queueuing protocol transmits the serialized message, in a way similar to a TCP socket, to the signing computer. The signing computer reads the serialized transactions from the queue (carefully), applies a signature with the appropriate key, and places them on an outgoing queue. The outgoing queue transmits the signed transactions to a computer with an Ethereum client that de-queues them and transmits them.
The Ethereum network uses a "flood" routing protocol. Each Ethereum client, acts as a node in a Peer-to-Peer (P2P), which (ideally) forms a mesh network. No network node is "special", they all act as equal peers. We will use the term "node" to refer to an Ethereum client that is connected to and participating in the P2P network.
Transaction propagation starts with the originating Ethereum node creating (or receiving from offline) a signed transaction. The transaction is validated and then transmitted to all the other Ethereum nodes that are directly connected to the originating node. On average, each Ethereum node maintains connections to at least 13 other nodes, called its neighbors. Each neighbor node validates the transaction as soon as they receive it. If they agree that it is valid, they store a copy and then they propagate it to all their neighbors (except the one it came from). As a result, the transaction ripples outwards from the originating node, flooding across the network, until all nodes in the network have a copy of the transaction.
Within just a few seconds, an Ethereum transaction propagates to all the Ethereum nodes around the globe. From the perspective of each node, it is not possible to discern the origin of the transaction. The neighbor that sent it to our node may be the originator of the transaction or may have received it from one of its neighbors. To be able to track the origin of transactions, or interfere with propagation, an attacker would have to control a significant percentage of all nodes. This is part of the security and privacy design of P2P networks, especially as applied to blockchains.
While all the nodes in Ethereum are equal peers, some of them are operated by miners and are feeding transactions and blocks to mining farms, which are computers with high-performance Graphical Processing Units (GPUs). The mining computers add transactions to a candidate block and attempt to find a Proof-of-Work that makes the candidate block valid. We will discuss this in more detail in [consensus].
Without going into much detail, valid transactions will eventually (in a few seconds or minutes) be included in a block of transactions and, thus, recorded in the Ethereum blockchain. Once mined into a block, transactions also modify the state of the Ethereum singleton, either by modifying the balance of an account (in the case of a simple payment), or by invoking contracts that change their internal state. These changes are recorded along side the transaction, in the form of a transaction receipt, which may also include events. We will examine all this in much more detail in [evm]
Our transaction has completed its journey from creation to signing by an EOA, propagation, and finally mining. It has changed the state of the singleton and left an indelible mark on the blockchain.