Deep learning and understanding of suicide DDoS attacks targeting individual users

Deep learning and understanding of suicide DDoS attacks targeting individual users

At the beginning of this year, a piece of news entitled "8848 was under DDoS attack and suspected to be attacked by Baidu" attracted wide attention from users. In addition to the well-known enterprises on the Internet, the word "DDoS" has attracted the attention of the media and users. Today, we have a deep understanding of DDoS attacks and defense against individual users.

What is DDoS attack?

DDoS is short for Distributed Denial of Service, which means "Distributed Denial of Service" in Chinese ". What is dos? Users can understand that any behavior that causes legitimate users to fail to perform normal network services is a denial of service attack. The purpose of a Denial-of-Service attack is to prevent legal users from accessing normal network resources.

DDoS attacks mainly send a large number of seemingly valid data packets to remote computers through many "zombie hosts", resulting in network congestion or server resource depletion, resulting in denial of service. Once a distributed denial-of-service attack is implemented, attack data packets flood into remote computers, so that legal data packets are drowned and legal users cannot access the network resources of the server. Therefore, distributed denial-of-service (DoS) is also called a "Flood attack ". There are two main types of DDoS attacks. One is traffic attacks, which are mainly attacks against network bandwidth. That is, a large number of Attack Packets Cause network bandwidth congestion, valid network data packets are drowned by false network data packets and cannot reach the host. The other is resource depletion attacks, which are mainly attacks against server hosts, that is, the host memory is exhausted by a large number of attack packets, or the CPU is occupied by the kernel and applications, resulting in the failure to provide network services.

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