DDoS Attack Target Detection based on AM+BPNN
Jing Chen · Scientific Journal of Technology · 2022
The computer has developed from a single machine to a multi-machine network. The development of the network has penetrated into people's life, and similarly, the problem of network security has also followed. Distributed Denial of Service (DDoS) attack is one of the most popular network attacks at present. How to effectively detect DDoS attack targets and take urgent protective measures has become one of the difficulties in the research community. In this paper, a method of detecting DDoS attacks by using CNN neural network with attention mechanism (AM) is proposed by using the characteristics of a large amount of data in DDoS attacks. The technology used in this method is relatively mature, the implementation is simple, the cost is low, and it has certain practical significance.