Title :
Research on Real-Time Network Security Risk Assessment and Forecast
Author :
Liao, Niandong ; Li, Feng ; Song, Yun
Author_Institution :
Sch. of Comput. & Commun. Eng., Changsha Univ. of Sci. & Technol., Changsha, China
Abstract :
Modern security problems focus on sensibly allocating 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.
Keywords :
Petri nets; computer network security; fuzzy logic; fuzzy set theory; real-time systems; risk analysis; Petri nets; fuzzy logic; real-time network security; risk analysis; risk assessment; risk forecast; Computer networks; Computer security; Fuzzy logic; Information security; Information systems; Intrusion detection; Petri nets; Risk analysis; Risk management; Technology forecasting; Petri Nets; fuzzy logic; network security; risk assessment; risk forecast;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-7279-6
Electronic_ISBN :
978-1-4244-7280-2
DOI :
10.1109/ICICTA.2010.273