The invention provides an uncertain information source-oriented prefix hijacking detection method and
system. The method comprises the following steps of: acquiring a routing information base, a resource
public key infrastructure and Internet routing registration center data in a
border gateway protocol; prefix cloud droplets are constructed from time, space and
data source dimensions based on a cloud model theory, and deterministic data and
uncertain data are obtained according to the dispersion degree of a cloud model; performing space-time stability analysis on the deterministic data, dynamically scoring each prefix
cloud droplet, and establishing a dynamic deterministic information base; for
uncertain data, a self-defined dictionary tree is used for carrying out online detection on a
route; and judging whether the routing is legal or not by utilizing prefix coverage and matching rules and combining a dual
verification mechanism, so as to complete
anomaly detection and online updating. The invention provides a prefix hijacking detection method based on a cloud model theory and a
Trie tree so as to overcome the characteristics of dynamic change of a
border gateway protocol,
complex network, large scale, data uncertainty and the like.