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The Research of Network Security Situation Prediction

Author: XuBiao
Tutor: LiMingChu
School: Dalian University of Technology
Course: Software Engineering
Keywords: Security posture Situation Forecast Lifelong learning algorithm Intelligent Agent
CLC: TP393.08
Type: Master's thesis
Year: 2008
Downloads: 293
Quote: 1
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Abstract


The security situation assessment as an important part of network security situation , plays a key role in the final decision- making . Research on the assessment of the security situation is more popular , but is not yet mature security posture prediction in its infancy . The existing few trend forecast means a neural network - based , especially because the neural network RBF neural network has a good approximation advantage of the performance and handling of non - linear data . Most of them are based on the idea of off-line learning , and the learning process is long, limited precision , the predicted effects of large-scale network security situation is not ideal . To solve the above problem , this paper focuses on network security situation prediction. Proceed from the neural network learning algorithm first introduced by relevant theory , algorithm analysis , the hidden layer neurons of the importance of the concept of lifelong learning algorithm . The basic idea of lifelong learning algorithm neural network learning process throughout the use phase of the network , while allowing the network to continue learning during the actual forecast . Lifelong learning algorithm can quickly build lifelong learning RBF neural network, which is in the running process of self- learning , to adjust , so as to maintain the timeliness of the network . Lifelong learning RBF neural network is used to predict the number of alarms in the experimental results show that the prediction accuracy as the network constantly adjust . Then , RBF neural network based on lifelong learning design an intelligent Agent network security situation prediction model . This model uses a distributed architecture and Intelligent Agent as the main , give full play to the advantages of the Agent . Intelligent Agent can independently accomplish the security posture prediction task , and to ensure its own security . Agent can communicate with each other , collaborate , and the overall functioning of the best state . Intelligent Agent network security situation prediction model has good scalability , and easy to adjust , modify . When the network security situation changes , you can narrow the search to facilitate the management and decision-making .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Computer network > General issues > Computer Network Security
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