Data security protection and early warning method based on big data

The invention relates to the field of data processing, in particular to a data security protection and early warning method based on big data, comprising: acquiring a data packet of each node in a server group; obtaining the total number of users with low historical access times in the historical access time sequence u, dividing the sequence u into a plurality of segments, obtaining a calling curve according to the number of the users of each message type in each segment, and then dividing the calling curve into two parts which are marked as a first curve and a second curve; obtaining the attack possibility of the node according to the first curve, the first curve and the second curve; and judging whether the node is attacked according to the possibility that the node is attacked, splitting the data packet into a plurality of sub-data packets when the node is not attacked, obtaining the possibility that the server group is attacked, judging whether the server group is attacked according to the possibility tha