scholarly journals Evaluation of computer network security using attack undirected geography

2019 ◽  
Vol 16 (3) ◽  
pp. 1508
Author(s):  
Chanintorn Jittawiriyanukoon
Keyword(s):  
Network Security ◽  
Computer Network ◽  
Threshold Value ◽  
Clustering Coefficient ◽  
Security Model ◽  
Security Threat ◽  
Network Nodes ◽  
Computer Network Security ◽  
Security Problem ◽  
Individual Attack

<span>To secure a wealth of data traversing the computer network at your fingertips is compulsory. But when attack arises at various parts of the network it is difficult to protect, especially when each incident is investigated separately. Geography is a necessary construct in computer networks. The analytics of geography algorithms and metrics to curate insight from a security problem are a critical method of analysis for computer systems. A geography based representation is employed to highlight aspects (on a local and global level) of a security problem which are Eigenvalue, eccentricity, clustering coefficient and cliques. Network security model based on attack undirected geography (AUG) is familiarized. First, analysis based upon association rules is presented then the attack threshold value is set from AUG. The probability of an individual attack edge and associated network nodes are computed in order to quantify the security threat. The simulation is exploited to validate that results are effective.</span>

Research on Dynamic Self-Adaptive Network Security Model Based on Mobile Agent

2014 ◽  
Vol 644-650 ◽  
pp. 2996-2999
Author(s):  
Kai Qi Fan
Keyword(s):  
Network Security ◽  
Mobile Agent ◽  
Computer Network ◽  
Rapid Development ◽  
Security Model ◽  
Security Technology ◽  
Adaptive Network ◽  
Model Based ◽  
Security Models ◽  
Self Adaptive

The rapid development and wide application of computer network is a new challenge to information security and network security. Traditional security models and single security technology can not keep up with the change of complex network structure and alterable intrusion measure. Based on analysis of some classical security models and technologies, we think network security is a kind of dynamic security. So, this paper presents a dynamic self-adaptive network security model based on mobile agent, and emphases on its structure, control strategy and prototype implementation.

Research on Application of Neural Network in Computer Network Security Evaluation

2014 ◽  
Vol 8 (1) ◽  
pp. 766-771
Author(s):  
Shujuan Jin
Keyword(s):  
Neural Network ◽  
Network Security ◽  
Evaluation System ◽  
Evaluation Method ◽  
Computer Network ◽  
Evaluation Model ◽  
Indicator System ◽  
Security Evaluation ◽  
Model Based ◽  
Computer Network Security

Purpose: discuss the role of the neural network (NN) theory in the computer network security evaluation. Method: propose three-level and four-class indicator system suitable for network security evaluation, establish the network security evaluation system model based on NN, optimize the NN model by using the particle swarm, collect 100- group data on the computer network security evaluation of different scales via expert scoring, and normalize them; Result: the evaluation model based on NN is simple and practicable to network security evaluation and can eliminate disturbance of the subjective factors of the human being. The simulation results indicate that the system can reduce relative output error and improve correctness rate of evaluation. Conclusion: The NN model is very valuable in research on the computer network security evaluation system, which can offset weaknesses of the past evaluation methods to some extent, improve precision of the evaluation results, and provide reference to prediction and control of the network security problems in future.

Computer Network Security and Directory Services Architecture

2000 ◽  
Author(s):  
James D. Johannes ◽  
Andrew Fanning ◽  
Kyle Hoover ◽  
Tim Lewis ◽  
Marsha Robinson
Keyword(s):  
Network Security ◽  
Computer Network ◽  
Computer Network Security ◽  
Directory Services

Methods for evaluating the computer network security with fuzzy number intuitionistic fuzzy dual Hamy mean operators

2020 ◽  
Vol 39 (3) ◽  
pp. 4427-4441
Author(s):  
Bin Xu
Keyword(s):  
Network Security ◽  
Membership Function ◽  
Fuzzy Number ◽  
Fuzzy Numbers ◽  
Computer Network ◽  
Information Aggregation ◽  
Security Evaluation ◽  
Uncertain Information ◽  
Intuitionistic Fuzzy ◽  
Computer Network Security

The concept of fuzzy number intuitionistic fuzzy sets (FNIFSs) is designed to effectively depict uncertain information in decision making problems which fundamental characteristic of the FNIFS is that the values of its membership function and non-membership function are depicted with triangular fuzzy numbers (TFNs). The dual Hamy mean (DHM) operator gets good performance in the process of information aggregation due to its ability to capturing the interrelationships among aggregated values. In this paper, we used the dual Hamy mean (DHM) operator and dual weighted Hamy mean (WDHM) operator with fuzzy number intuitionistic fuzzy numbers (FNIFNs) to propose the fuzzy number intuitionistic fuzzy dual Hamy mean (FNIFDHM) operator and fuzzy number intuitionistic fuzzy weighted dual Hamy mean (FNIFWDHM) operator. Then the MADM methods are proposed along with these operators. In the end, we utilize an applicable example for computer network security evaluation to prove the proposed methods.

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