The invention relates to the technical field of intelligent security and protection, in particular to an intelligent security and protection strategy generation method and device based on
big data, and the method comprises the following steps: collecting historical data of security and protection events, carrying out data cleaning and format unification, checking
data quality and consistency, and obtaining a comprehensive
data set. According to the method, the comprehensive
data set is created, efficient integration of data is achieved, historical and real-time
monitoring data are fully utilized, the possibility of a future security event is accurately predicted, normalization and key index screening are carried out, the
data processing flow is optimized, the mode recognition speed and accuracy are improved, potential threats can be quickly responded, and the safety of the security event is improved. According to the method, regional features and
population density analysis are combined, regional security and protection requirements are accurately analyzed, a
resource allocation strategy is optimized, the accuracy and efficiency of
resource utilization are improved, behavior
modes are deeply analyzed, abnormal behaviors are timely recognized, the adaptability to complex security challenges is enhanced, and the robustness and
response effect in a changeable security environment are ensured.