scholarly journals Research on the Key Technologies of Network Security-Oriented Situation Prediction

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Yikun Zhu ◽  
Zhiling Du
Keyword(s):  
Network Security ◽  
Situational Awareness ◽  
Algorithm Design ◽  
Evidence Theory ◽  
Assessment Model ◽  
Time Varying ◽  
Security Threat ◽  
Model Based ◽  
Posture Assessment ◽  
Threat Posture

In today’s increasingly severe network security situation, network security situational awareness provides a more comprehensive and feasible new idea for the inadequacy of various single solutions and is currently a research hotspot in the field of network security. At present, there are still gaps or room for improvement in network security situational awareness in terms of model scheme improvement, comprehensive and integrated consideration, algorithm design optimization, etc. A lot of scientific research investments and results are still needed to improve the form of network security in a long and solid way. In this paper, we propose a network security posture assessment model based on time-varying evidence theory for the existing multisource information fusion technology that lacks consideration of the problem of threat occurrence support rate over time and make the threat information reflect the law of time change by introducing a time parameter in the basic probability assignment value. Thus, the existing hierarchical threat posture quantitative assessment technique is improved and a hierarchical multisource network security threat posture assessment model based on time-varying evidence theory is proposed. Finally, the superiority of the proposed model is verified through experiments.

A Network Security Situational Awareness Model Based on Information Fusion

2013 ◽  
Vol 846-847 ◽  
pp. 1632-1635
Author(s):  
Abasi
Keyword(s):  
Network Security ◽  
Information Fusion ◽  
Situational Awareness ◽  
Evidence Theory ◽  
Arma Model ◽  
Situational Factors ◽  
Source Information ◽  
Network Nodes ◽  
Model Based ◽  
The Future

Security situational awareness has become a hot topic in the area of network securityresearch in recent years. The existing security situational awareness methods are analyzed and compared in details, and thus a newnetwork security situational awareness model based on information fusion is proposed. This modelfuses multi-source information from a mass of logs by introducing the modified D-S evidence theory,gets the values of nodes security situational awareness by situational factors fusion using attacks threat,and vulnerability information which network nodes have and successful attacks depend on, computesthe value of network security situational awareness by nodes situation fusion using service informationof the network nodes, and draws the security-situation-graph of network. Then, it analyzes the timeseries of the computing results by ARMA model to forecast the future threat in network security.Finally an example of actual network datasets is given to validate the network security situationalawareness model and algorithm. The results show that this model and algorithm is more effective andaccurate than the existing security situational awareness methods.

Software Development and Design of Network Security System Under Big Data Analysis

2020 ◽  
pp. 135-140
Author(s):  
Mei Hong Chen
Keyword(s):  
Neural Network ◽  
Big Data ◽  
Network Security ◽  
Radial Basis Function ◽  
Basis Function ◽  
Situational Awareness ◽  
Cuckoo Search ◽  
Function Model ◽  
Model Based ◽  
Radial Basis

To explore the prediction effect of network security situational awareness on network vulnerabilities and attacks under the background of big data, this study constructs a predictive index system based on the network security situational awareness model. Based on the improved cuckoo algorithm, the cuckoo search radial basis function neural network is used to predict the situation. The weight value in the model is determined by the hierarchical analysis method, vulnerability simulation is conducted by Nessus software and network attack simulation is conducted by Snort software, and then the situation is evaluated by a fuzzy comprehensive evaluation method. Finally, Jquery and Bootstrap software is used to develop the system. The results show that the cuckoo search radial basis function model proposed in this study could predict network security situations more accurately than the radial basis function model, cuckoo search back-propagation neural network model, genetic algorithm radial basis function model and Support vector machine model based on particle swarm optimization model.

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 Based on Multi-Source Data Fusion

2014 ◽  
Vol 989-994 ◽  
pp. 4885-4888 ◽  
Author(s):  
Gang Chen ◽  
Jun Ping Cai ◽  
Jun Yang
Keyword(s):  
Network Security ◽  
Situation Awareness ◽  
Situational Awareness ◽  
Evidence Theory ◽  
System Level ◽  
Source Information ◽  
Security Research ◽  
Data Source ◽  
Source Level ◽  
Level Fusion

Network security situation awareness is an effective way to analysis security situation of complex network.The concept and model of network security situational awareness was introduced.A new model of network security situation awareness was proposed. Considering the characteristics of multi-source information in network security research, a security situation awareness algorithm based on information fusion was adopted. This algorithm advanced modified D-S evidence theory, gets the values of security situation awareness of network by data source level fusion, host-level fusion and system-level fusion. The results can reflect the general security state of network.

Data aggregation in multi-source assessment model based on evidence theory

2018 ◽  
Vol 69 ◽  
pp. 443-452 ◽  
Author(s):  
Hossein Nahid Titkanloo ◽  
Abbas Keramati ◽  
Roxana Fekri
Keyword(s):  
Data Aggregation ◽  
Evidence Theory ◽  
Assessment Model ◽  
Model Based ◽  
Source Assessment
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