Open AccessAttack path analysis of power monitoring system based on attack graph
Author(s) -
Xiaojian Zhang,
Qi Wang,
Xiangqun Wang,
Run Zhang
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/645/1/012064
Subject(s) - computer science , path (computing) , electric power system , computer security , key (lock) , reliability engineering , graph , path analysis (statistics) , power (physics) , real time computing , computer network , engineering , physics , quantum mechanics , theoretical computer science , machine learning
Power monitoring system, as the key to ensure the normal operation of power, is facing huge security threats. The existing protection measures for power monitoring systems mostly start from the aspect of early warning, instead of actual penetration testing of the power monitoring system. To solve this problem, a path analysis method of power monitoring system based on attack graph is proposed to simulate the security test of power monitoring system. In the aspect of route selection, this project quantifies the attack benefits and attack costs to obtain the attack efficiency on each path, and then applies the ant colony algorithm with high efficiency to select the attack path.