HTTPS Anonymous Proxy

VPN allows you to hide your real IP address, as well as further encrypt your traffic. VPN is also actively used for address spoofing. For example, the user is in the Russian Federation, but by connecting through a VPN server, the site "thinks" that the user is from the United States.

When parsing RSS feeds and avoiding duplicates, you typically need to maintain a record of previously parsed items and compare new items to this record to ensure that you don't process the same item multiple times. Below is an example using Node.js and the rss-parser library, which simplifies working with RSS feeds.

Install Dependencies

Install the required npm package:

npm install rss-parser

Write the Parsing Script

Create a Node.js script (e.g., parse_rss.js) with the following code:

const Parser = require('rss-parser');
const fs = require('fs');

const parser = new Parser();
const rssFeedUrl = 'https://example.com/rss-feed'; // Replace with the URL of the RSS feed

// Function to load and parse the previously processed items
function loadProcessedItems() {
    try {
        const data = fs.readFileSync('processedItems.json');
        return JSON.parse(data);
    } catch (error) {
        return [];
    }
}

// Function to save the processed items to a file
function saveProcessedItems(processedItems) {
    fs.writeFileSync('processedItems.json', JSON.stringify(processedItems, null, 2));
}

async function parseRSS() {
    const processedItems = loadProcessedItems();
    const feed = await parser.parseURL(rssFeedUrl);

    for (const item of feed.items) {
        // Check if the item has been processed before
        if (!processedItems.includes(item.link)) {
            // Process the new item (replace with your processing logic)
            console.log('New item found:', item.title);

            // Add the item link to the list of processed items
            processedItems.push(item.link);
        }
    }

    // Save the updated list of processed items
    saveProcessedItems(processedItems);
}

// Run the RSS parsing process
parseRSS();

Replace 'https://example.com/rss-feed' with the URL of the RSS feed you want to parse.

Run the Script

Run the script using Node.js:

node parse_rss.js

This script uses the rss-parser library to fetch and parse an RSS feed. It maintains a list of processed item links in a JSON file (processedItems.json). Each time the script runs, it loads the processed items, compares them to the new items in the feed, processes only the new items, and then updates the list of processed items.

In Qt, you can use the QUdpSocket class to handle incoming UDP packets and the QDataStream class to parse the QByteArray into a bitfield structure. Here's an example of how to accept and parse a UDP QByteArray into a bitfield structure in Qt:

1. First, create a structure to represent the bitfield:

struct Bitfield {
    unsigned int field1 : 8;
    unsigned int field2 : 8;
    unsigned int field3 : 8;
    unsigned int field4 : 8;
};

2. Next, create a QUdpSocket object and bind it to a specific port:

QUdpSocket udpSocket;
if (!udpSocket.bind(QHostAddress::Any, 12345)) {
    qDebug() << "Failed to bind UDP socket:" << udpSocket.errorString();
    return;
}

3. In the readyRead() slot, accept incoming UDP packets and parse the QByteArray:

void MyClass::handleIncomingDatagram() {
    QByteArray datagram = udpSocket.receiveDatagram();
    QDataStream dataStream(&datagram, QIODevice::ReadOnly);

    Bitfield bitfield;
    dataStream >> bitfield;

    // Process the bitfield structure as needed
    qDebug() << "Received bitfield:" << bitfield.field1 << "," << bitfield.field2 << "," << bitfield.field3 << "," << bitfield.field4;
}

4. Finally, connect the readyRead() signal to the handleIncomingDatagram() slot:

connect(&udpSocket, &QUdpSocket::readyRead, this, &MyClass::handleIncomingDatagram);

In this example, the handleIncomingDatagram() slot is called whenever a new UDP packet is received. The slot accepts the incoming datagram, parses it into a bitfield structure using QDataStream, and processes the bitfield as needed.

Make sure to include the necessary headers in your code:

#include 
#include 
#include 
#include 

This example assumes that the incoming UDP packet contains exactly 4 bytes, which is enough to store the bitfield structure. If the packet contains more data, you'll need to handle it accordingly.

Working through a proxy involves routing your internet traffic through a proxy server, which acts as an intermediary between your device and the internet. This can be done for various reasons, such as improving security, privacy, or accessing content that may be restricted in your location. Here's how to work through a proxy:

Obtain a proxy server: First, you need to find a proxy server that meets your needs. You can find proxy servers through online directories or by asking for recommendations from friends, family, or online communities. Make sure to choose a reliable and trustworthy proxy server.

Configure your device or browser: Once you have a proxy server, you need to configure your device or browser to use the proxy. The process varies depending on the device and browser you're using.

In the "Settings" of any Android smartphone there is a "VPN" item. And there you can manually specify the parameters of the proxy, through which the connection to the Internet will be made. There, some of the programs also import ready-made scripts for proxy connections.