Research on real-time network security risk assessment and forecast
Modern security problems focus on sensibly allocat Ing resources to decrease the magnitude of potential hazards, decrease the chances of adversary success given an attempt, or minimize loss following a successful attack. However, current risk assessment methodologies focus on manual risk analysis of network during design or through periodic reviews. Techniques for real.time risk assessment are scarce. In this paper, we propose a novel real-time risk assessment method using fuzzy logic and Petri Nets. The proposed method enables decision analysts to better understand the complete evaluation process of network security risk assessment, Furthermore, this approach can predict the potential network risk and provide credible confidence scores of risk assessment. The experimental results show that the proposed method is very useful in network security risk assessment.
risk assessment risk forecast Petri Nets fuzzy logic network security
Niandong Liao Feng Li Yun Song
School of Computer and Communication Engineering Changsha University of Science & Technology, Changsha, Hunan, 410114, China
国际会议
长沙
英文
2446-2449
2010-05-11（万方平台首次上网日期，不代表论文的发表时间）