The invention discloses a network
information security protection method based on
big data, and relates to the technical field of network
information security, and the protection method comprises the following specific steps: S100, data collection: through a
web crawler technology and a
data interface, carrying out data collection;
network data of texts, user behaviors and network traffic are collected in real time from a
social media platform, a
network service provider and a user terminal, and accurate recognition and early warning of network
information security threats are achieved through
social media emotion mining and user behavior emotion association analysis. By applying a
natural language processing technology and constructing an exclusive emotion dictionary, potential
threat speech which contains negative emotions and is related to
network security can be accurately recognized, meanwhile, user behavior data are combined, a user behavior emotion
association model is established, user behaviors are monitored in real time, the
threat recognition accuracy is improved, and the
threat recognition efficiency is improved. And powerful support is provided for taking safety protection measures in time.