Application of neural networks in identification of measurement anomaly detection
Journal Title: International Research Journal of Applied and Basic Sciences - Year 2013, Vol 4, Issue 8
Abstract
Most current Intrusion Detection Systems (IDS) examine all data features to detect intrusion. Also existing intrusion detection approaches have some limitations, namely impossibility to process large number of audit data for real-time operation, low detection and recognition accuracy. To overcome these limitations, we apply modular neural network models to detect and recognize attacks in computer networks. It is based on combination of principal component analysis (PCA) neural networks and multilayer perceptrons (MLP). PCA networks are employed for important data extraction and to reduce high dimensional data vectors. We present two PCA neural networks for feature extraction: linear PCA (LPCA) and nonlinear PCA (NPCA). MLP is employed to detect and recognize attacks using feature-extracted data instead of original data. The proposed approaches are tested using KDD-99 dataset. The experimental results demonstrate that the designed models are promising in terms of accuracy and computational time for real world intrusion detection.
Authors and Affiliations
Morteza salari akhgar| Department of computer, Ghorveh Branch, Islamic Azad University, GHorveh, Iran, Hamdollah Ghamgin| Zanjan Branch, Islamic Azad University, Zanjan, Iran., Mohammad Taghi Jafari| Zanjan Branch, Islamic Azad University, Zanjan, Iran.
Keywords
Related Articles
- EP ID EP5576
- DOI -
- Views 277
- Downloads 9
Development of an allele-specific functional marker for studying Hd1 effect on flowering time of rice
Photoperiodic control of flowering is one of the most significant components of the interaction between plants and their environment. Hd1 promotes floral transition from vegetative to reproductive growth under short-day...
Using Emperor and Particle Swarm Optimization Algorithm to Optimize Induction Motor Control System
In this paper, the simulation and optimization of induction motor through its controlling and modeling by convert d-q with Simulink of Matlab Software has been developed. By utilization PI controller and also with phase...
Investigating the Effective Organizational Factors in Increasing Manpower Efficiency in Naban Qeshm Industrial Group Company
The present study aims to investigate the effective factors improving manpower efficiency in Naban Qeshm Industrial Group Company. As to the research objectives, it can be considered as an applied study. The participants...
Comparison of stress anxiety and satisfaction of marital life between employee women and man in health and remedy organization in darrehshahr
The aim of the current investigation is comparison of stress, Anxiety and satisfaction of marital life between employee men and women in health and remedy organization in darrehshahr. The plan of this research is compara...
Evaluation of morphological traits, yield and yield components of Datura (Daturea stramonium. L) as affected by different planting time in Ardabil region
The aim of determining optimumplantingdate is to designate aperiod of time that environmental factors for germination, emergence, establishment and seedling surviving is suitable in this period. Accordingly an experiment...