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Methods to prevent CC attacks
Methods to prevent CC attacks include traffic filtering, load balancing, caching technology, elastic expansion, high-availability architecture, verification mechanisms, monitoring and alarms, and security updates. This topic provides you with articles, downloads, and course content related to CC attacks for everyone to download and experience for free.
Methods to prevent CC attacksMethods to prevent CC attacks include traffic filtering, load balancing, caching technology, elastic expansion, high-availability architecture, verification mechanisms, monitoring and alarms, and security updates. Detailed introduction: 1. Traffic filtering, by setting up a firewall or using professional firewall equipment, to filter and detect traffic. It can filter according to the source, destination, protocol, etc. of the traffic to block malicious traffic; 2. Load balancing, by using Load balancing equipment distributes traffic to multiple servers to reduce the load pressure on a single server. When a server is attacked by CC, etc.
What is a CC attack?CC attack, English Challenge Collapsar, translated as "Challenge Black Hole", is a distributed denial of service (DDoS) attack that targets weak links in service system performance. Traditional DDoS attacks generally exploit flaws in the underlying network technology of the victim server to launch attacks, and the attacker consumes relatively little traffic.
What is linux cc attackLinux cc attacks are mainly used to attack pages, simulating multiple users to continuously access your pages, thereby exhausting your system resources; attacks are to occupy a large amount of network resources through a large number of legitimate requests, so as to To achieve the purpose of paralyzing the network.
PHP prevents CC attack code PHP prevents frequent refresh of web pagesThis article mainly introduces the PHP code to prevent CC attacks and PHP to prevent frequent web page refreshes, rapid and malicious web page refreshes, CC attacks use proxy servers to generate legitimate requests directed to the target site, and simulate multiple users to visit the victim website non-stop. Interested Friends, you can study it
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