Open AccessAn Intrusion Intention Analysis Algorithm Based on Attack Graph
Author(s) -
Zhen Zhu,
Guofei Chai
Publication year - 2021
Publication title -
international journal of circuits, systems and signal processing
Language(s) - English
Resource type - Journals
ISSN - 1998-4464
DOI - 10.46300/9106.2021.15.71
Subject(s) - computer science , intrusion detection system , intrusion , graph , bayesian network , network topology , key (lock) , data mining , basis (linear algebra) , domain (mathematical analysis) , graph theory , network security , algorithm , theoretical computer science , computer security , computer network , artificial intelligence , mathematics , mathematical analysis , geometry , geochemistry , combinatorics , geology
The discovery of intrusion intention is one of the challenging tasks faced by network security managers. To detect intrusion detections, this paper presents a domain-device attack graph, and collects and analyzes the underlying data of the network topology. On this basis, the attack graph Map was quantified by the Bayesian theory. The minimum weight spanning tree (Min-WFS) algorithm was adopted to automatically recognize the calculation cost of key devices in the network topology, providing an important basis for network maintenance. Experimental results show that the intrusion intentions can be effectively identified with the aid of the quantified domain-device attack graph Map, and this identification method is easy to implement.