Fast location algorithm for complex dynamic network invasion data

Abstract

A new algorithm for detecting the abnormal intrusion data of complex dynamic networks based on ultrasonic TDOA is proposed, which is based on the problem of low positioning efficiency when the minimum information criterion is used to locate the abnormal intrusion data. In the process, the intrusion detection area of the network is constructed, and the root intrusion matrix is obtained by the graph theory and the adjacency matrix. The distance between the nodes is measured by the ultrasonic TDOA to locate the intrusion node, at the same time three-dimensional centroid positioning is taken with the network intrusion data for rapid positioning. Experiments show that the proposed algorithm can locate the intrusion data in real time and improve the stability of intrusion detection.

Subject Classification:

• MSC2010
• 94C99

Keywords:

• Dynamic network
• Anomalous intrusion data
• Fast positioning