A Network Security Situation Awareness Model Based on Risk Assessment

2018 ◽  
pp. 17-24 ◽  
Author(s):  
Yixian Liu ◽  
Dejun Mu
Keyword(s):  
Risk Assessment ◽  
Network Security ◽  
Situation Awareness ◽  
Model Based

Research on Intrusion Detection Method Based on Neural Network

2011 ◽  
Vol 403-408 ◽  
pp. 1483-1486
Author(s):  
Chi Xu ◽  
Wen Fang Zhang
Keyword(s):  
Risk Assessment ◽  
Network Security ◽  
Security Analysis ◽  
Assessment Model ◽  
Security Assessment ◽  
Security Risk ◽  
Analysis Model ◽  
Model Based ◽  
Security Risk Assessment ◽  
Meaningful Definition

The research of this dissertation focuses on the quantitative methodologies of the network security assessment. So the dissertation gives the term “Model-based network security risk assessment” a more meaningful definition. The methodology called a model-based will use one network security analysis model to design the scenarios of threatens according to the Patterns behaviors of vulnerabilities and threatens in the network. And then the risk assessment will be done under those scenarios. Following this new definition. The dissertation Proposes a Component-centric Access Graph Based Network Security Risk Assessment Model (Oc-AGNSRAM).

Network security situation awareness model based on autonomic computing

2013 ◽  
Vol 33 (2) ◽  
pp. 404-407 ◽  
Author(s):  
Dan ZHANG ◽  
Ruijuan ZHENG ◽  
Qingtao WU ◽  
Yumei DAI
Keyword(s):  
Network Security ◽  
Situation Awareness ◽  
Autonomic Computing ◽  
Model Based

Network Security Situation Awareness Adaptive Control Model Based on Cognitive Network

2010 ◽  
Vol 26-28 ◽  
pp. 952-955
Author(s):  
Xiao Wu Liu ◽  
Hui Qiang Wang ◽  
Bao Xiang Cao ◽  
Ji Guo Yu
Keyword(s):  
Adaptive Control ◽  
Network Security ◽  
Situation Awareness ◽  
Cognitive Structure ◽  
Control Model ◽  
Research Field ◽  
Cognitive Network ◽  
Model Based ◽  
New Research ◽  
Made In

Network Security Situation Awareness (NSSA) helps security analysts to be aware of the actual security situation of their networks. But its adaptive control model and method remain a new research field that needs to be explored. In this paper, we presented a novel NSSA adaptive control model based on cognitive network. The model adopted circle cognitive structure composed of Monitor, Awareness, Decision and Execution (MADE). In the MADE cognitive circle, we described a fusion awareness method based on PSO-DS theory. The decision and execution strategies were also discussed briefly. The experiments prove that our model realizes the adaptive regulation of NSSA effectively and it also can be applied into other fields in order to develop automatic tools and devices.

Network Security Situation Awareness Model Based on Multi-Source Fusion

2012 ◽  
Vol 5 (2) ◽  
pp. 775-779 ◽  
Author(s):  
Xiaowu Liu ◽  
Huiqiang Wang ◽  
Jiguo Yu ◽  
Baoxiang Cao ◽  
Zhonghe Gao
Keyword(s):  
Network Security ◽  
Situation Awareness ◽  
Model Based

A Cloud Security Situational Awareness Model Based on Parallel Apriori Algorithm

2014 ◽  
Vol 556-562 ◽  
pp. 6294-6297 ◽  
Author(s):  
Xiao Liang ◽  
Hong Wu Lv ◽  
Fang Fang Guo ◽  
Hui Qiang Wang
Keyword(s):  
Data Mining ◽  
Cloud Computing ◽  
Network Security ◽  
Situation Awareness ◽  
Situational Awareness ◽  
New Technology ◽  
Cloud Security ◽  
Apriori Algorithm ◽  
Virtual Storage ◽  
Model Based

Network Security Situation Awareness (NSSA) is a hot topic in network security field, and cloud computing is a new technology integrated virtual storage and distributed computing. It has become the challenging questions how to provide efficient and reliable service for NSSA based on the cloud computing.This paper proposes a cloud security situation awareness model based on data mining, and puts forwarda parallelfrequent-tree Apriori algorithm (PFT-Apriori) for mining association rules. Compare with the traditional Apriori algorithm, the experimental results show that the performance of system is increased by 51% under PFT-algorithm.

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