While computer networks provide people with various convenient services

they also face many security threats

such as Trojan horses and viruses. Criminals use network attacks to destroy network services and user data

posing serious threats to people. Network security experts and corporate organizations have proposed many security defense technologies

which have improved network security defense capabilities to a certain extent. However

with the rapid increase in Internet data and traffic

the types and numbers of network attacks have shown an exponential increase

and there is an urgent need to propose new defense technologies to respond. This article introduces a security defense mode based on convolutional neural networks. Through intrusion detection

data encryption

deep packet filtering and other technologies

it can quickly locate whether there are viruses or Trojan horses in the data stream

and check and kill them in time to effectively improve the initiative and enthusiasm of network security defense.