1. A computerized method for N grouping of traffic and a pattern-free Internet worm response method using the N grouping of traffic, the computerized method comprising: grouping various worms into N groups by a processor where similar traffic factors generated by the worms are grouped; involving a worm appearing afterward with a traffic characteristic of a corresponding group defined in advance to allow a network or a system to control a forecast/alarm and a countermeasure for a danger of the network or system (here, N is a natural number equal to or greater than 2); and wherein determining of the traffic characteristic of the corresponding group defined in advance comprises: executing various worms and collecting generated traffic data to perform grouping on traffic factors that generate similar results; creating N groups using the grouping results; inserting data of a real network as noises with consideration of a circumstance where noises and worms of various communication networks are generated simultaneously in a bundle; applying a neural network algorithm to the inserted data and performing the grouping of various worms to allow the group to converge; quantitatively analyzing the groups; dividing a damage influence of the quantitatively analyzed group into a plurality of hierarchies; and matching a countermeasure with each hierarchy.