Title :
Comprehensive analysis of network security situational awareness methods and models
Author :
Xiumei Wei ; Xuesong Jiang
Author_Institution :
Sch. of Inf., Qilu Univ. of Technol., Jinan, China
Abstract :
The research of Network security situational awareness (NSSA) is very important because it can improve the network monitoring abilities, Emergency response capacity and predict the development trend of network security. Based on the concept model of situational awareness, This paper expounds on the situational awareness of the three main research content: extraction the factors of NSSA, situation understanding and situation prediction. The Focuses on the core problem each stage needs to be solved, main algorithms and advantages and disadvantages of these algorithms. Finally, the implementation of the development trends of the related theory and application in different stages are analyzed and prospected.
Keywords :
security of data; NSSA; comprehensive analysis; emergency response capacity; network monitoring abilities; network security situational awareness methods; situation prediction; situation understanding; Bayes methods; Data integration; Data mining; Market research; Predictive models; Security; Support vector machines; data fusion; network security; situation prediction; situation understanding; situational awareness;
Conference_Titel :
Instrumentation and Measurement, Sensor Network and Automation (IMSNA), 2013 2nd International Symposium on
Conference_Location :
Toronto, ON
DOI :
10.1109/IMSNA.2013.6743245