Ethereum: A quantitative guide to the registration analysis
The registration analysis is a crucial instrument in blockchain development, with which developers can understand the dependencies between different intelligent contracts and identify potential problems that can lead to runtime errors or security gaps. In this article, we will deal with the process of calculating the characteristics in Ethereum and offer a quantitative guide for this complex topic.
What is a damn analysis?
The brokerage analysis is a technique that analyzes the execution of intelligent contracts on the Ethereum blockchain. It includes the pursuit of memory access and values, which are stored or updated in each contract by various variables. By analyzing these powers, developers can determine which contracts depend on certain variables, which can lead to problems such as data races, inconsistent condition or unintentional behavior.
Ethereum’s flaw analysis
Ethereum offers an integrated school service through its “ETH -AAINT” module. This module is used by Ethereum’s Virtual Machine (EVM) to pursue memory access and values during the contract.
Here you will find a step-by-step instructions for how the flaw analysis works in Ethereum:
- Marriage generation : When a contract is carried out, it generates a number of flaws that represent the current state of its variables. These reports are saved as an array of tuels, with each tupel containing a variable name and its value.
- ** Metz spread This is done by calling the “Taint” function for each command that accesses memory.
- Taint Update
: The updated tints are saved in a card called “Taint Map” or “Taint Store”. This card is used to maintain a recording of all variables and its current values.
V.
reporting test : During the contract execution, the EVM checks whether one of the variable report has changed since the last iteration. When a change has occurred, it updates the state of the contract accordingly.
Calculation of the flaw in Ethereum
In order to calculate powers in Ethereum, you can use the “ETH -LAINT” module and its “Taint” function. Here is an example:
`Solidity
Pragma solidity ^0.8.0;
Contract example {
Uint256 public x; // variable x
Updatex function (Uint256 Newx) Public {
Effort (x); // Update the flaw of variables X
}
}
`
To calculate the flaw, you can call the “Taint” function like this:
`Solidity
Contract example {
Uint256 public x;
Function updatex () public {
Effort (x);
// do something with the updated value
}
}
`
In this example, the “Updatexfunction" Taint "calls up to update the flaw of the variables' X. The resulting reports are saved in the memory and can later be accessed with the “ETH -AAST” module.
Quantitative instructions
In order to better understand how the flaw analysis works in Ethereum, we should consider an example:
Suppose we have a contract that carries out a complex calculation in its state. Let us assume that the contract contains two variables: x (a not signed integer) andy (an signed integer).