Network Intrusion Awareness using Data Fusion and SVM Classification: A Study on Improving Cybersecurity through Integrated Analysis and Machine Learning Techniques - Softcover
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Network intrusion awareness is important factor for risk analysis of network security. In the recent decade different method and framework are available for intrusion detection and security alertness. A number of method based on knowledge discovery process and some framework based on neural network. These complete model take rule based decision for the generation of security alerts. In this dissertation we proposed a novel method for intrusion awareness using data fusion and SVM classification. The data fusion work on the biases of features gathering of occurrence. Support vector machine is super classifier of data. Now we used SVM for the detection of closed item of ruled based technique.
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Network Intrusion Awareness using Data Fusion and SVM Classification: A Study on Improving Cybersecurity through Integrated Analysis and Machine Learning Techniques
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LAP LAMBERT Academic Publishing, 2023
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ISBN 13: 9786206155768
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Network Intrusion Awareness using Data Fusion and SVM Classification: A Study on Improving Cybersecurity through Integrated Analysis and Machine Learning Techniques
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Network Intrusion Awareness using Data Fusion and SVM Classification
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Network intrusion awareness is important factor for risk analysis of network security. In the recent decade different method and framework are available for intrusion detection and security alertness. A number of method based on knowledge discovery process and some framework based on neural network. These complete model take rule based decision for the generation of security alerts. In this dissertation we proposed a novel method for intrusion awareness using data fusion and SVM classification. The data fusion work on the biases of features gathering of occurrence. Support vector machine is super classifier of data. Now we used SVM for the detection of closed item of ruled based technique. 76 pp. Englisch. Seller Inventory # 9786206155768
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Network Intrusion Awareness using Data Fusion and SVM Classification: A Study on Improving Cybersecurity through Integrated Analysis and Machine Learning Techniques
Published by
LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206155765
ISBN 13: 9786206155768
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Network Intrusion Awareness using Data Fusion and SVM Classification
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Network intrusion awareness is important factor for risk analysis of network security. In the recent decade different method and framework are available for intrusion detection and security alertness. A number of method based on knowledge discovery process . Seller Inventory # 867572726
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Network Intrusion Awareness using Data Fusion and SVM Classification
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Taschenbuch. Condition: Neu. Neuware -Network intrusion awareness is important factor for risk analysis of network security. In the recent decade different method and framework are available for intrusion detection and security alertness. A number of method based on knowledge discovery process and some framework based on neural network. These complete model take rule based decision for the generation of security alerts. In this dissertation we proposed a novel method for intrusion awareness using data fusion and SVM classification. The data fusion work on the biases of features gathering of occurrence. Support vector machine is super classifier of data. Now we used SVM for the detection of closed item of ruled based technique.Books on Demand GmbH, Überseering 33, 22297 Hamburg 76 pp. Englisch. Seller Inventory # 9786206155768
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Network Intrusion Awareness using Data Fusion and SVM Classification : A Study on Improving Cybersecurity through Integrated Analysis and Machine Learning Techniques
Published by
LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206155765
ISBN 13: 9786206155768
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Network intrusion awareness is important factor for risk analysis of network security. In the recent decade different method and framework are available for intrusion detection and security alertness. A number of method based on knowledge discovery process and some framework based on neural network. These complete model take rule based decision for the generation of security alerts. In this dissertation we proposed a novel method for intrusion awareness using data fusion and SVM classification. The data fusion work on the biases of features gathering of occurrence. Support vector machine is super classifier of data. Now we used SVM for the detection of closed item of ruled based technique. Seller Inventory # 9786206155768
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Network Intrusion Awareness using Data Fusion and SVM Classification | A Study on Improving Cybersecurity through Integrated Analysis and Machine Learning Techniques
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Taschenbuch. Condition: Neu. Network Intrusion Awareness using Data Fusion and SVM Classification | A Study on Improving Cybersecurity through Integrated Analysis and Machine Learning Techniques | Chandra Prakash Bhargava (u. a.) | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786206155768 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 126895538