Evaluation method of effect from network attack considering node multi-property feature

Inspired form the ideas of data field theory and projection pursuit model, a new evaluation method of effect from network attack is proposed. The basic idea is that each node in the network can be thought as a physical particle with multi-property feature, which produces an effect field in the surrounding area, so the relationship between all the nodes forms the topology data field of network. Then, by defining and computing the value of nodes mass, radiation distance and influence factor, we can obtain the potential score value of each node which reflects the network performance. To this end, the method is expected to evaluate network attack effect effectively according to potential score change, and final experiments verify its efficiency and feasibility.