System Security Monitoring Based on Complex Event Processing and Neural Network

Abstract:

Recently system security monitoring has meet several challenges. Therefore a system security monitoring approach based on complex event processing and dynamic structure-based neural networks is proposed in this paper. Firstly, complex event processing is used to handle real-time event streams and extract complex events from system security sensors. Secondly, the complex events from CEP would be used for further study by dynamic structure-based neural network. Finally the process of system security monitoring is showed and experiments would be applied to validate the feasibility, efficiency and precision of the approach.

• Periodical: Applied Mechanics and Materials (Volumes 571-572)
• Pages: 626-637
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.571-572.626
• Online since: June 2014
• Authors: Yi Fei Guo, Shi Si, Da Wei Jin
• Keywords: Complex Event Processing, Orthogonal Genetic Algorithm with Quantization, Security Monitoring, Structure-Based Neural Networks

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