The Application of BP Neural Network in Network Intrusion Detection

Ya Fang Lou; Zhi Jun Yuan; Hao Wu

doi:10.4028/www.scientific.net/AMR.765-767.1415

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The Method of Chinese Opinion Sentence Extraction and Polarity Identification Based on Sentimental Elements
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Network Design in the Third Party Reverse Logistics of Swill Recycling
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The Application of BP Neural Network in Network Intrusion Detection
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Design of the Logistics Management System Based on J2EE and MVC
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An Adaptive Cooperative Spectrum Sensing Scheme Based on the k-out-of-N Fusion Rule
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Verification for Proving the Route Choice Dependence of Motorists
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Evaluation of Near-Duplicate Image Retrieval Algorithms for the Identification of Celebrities in Web Images
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 765-767The Application of BP Neural Network in Network...

The Application of BP Neural Network in Network Intrusion Detection

Abstract:

As the network is impacting enormously to all aspects of society, the network security becomes a critical problem. The traditional intrusion detection technology exists some disadvantages: the imperfection of architecture, the slow detecting of system, the vulnerable of itself architecture, and so on. This paper presents an intrusion detection model based on BP neural network which has the incomparable advantages against traditional intrusion detection systems. Therefore, the study of this subject possesses the practical significance.