Dissertation > Excellent graduate degree dissertation topics show

Research of Network Fault Detection Model Based on Danger Mode

Author: LiHui
Tutor: TianYuLing
School: Taiyuan University of Technology
Course: Applied Computer Technology
Keywords: network failure artificial immune self-noself mode dangermodel dendritic cell algorithm
CLC: TP393.06
Type: Master's thesis
Year: 2012
Downloads: 27
Quote: 0
Read: Download Dissertation

Abstract


With the wide application of computer network in people’s work and life, the expansion of network scale and the complication of network structure, the probability of network fault is more and more large. The loss caused by network fault is immeasurable, so the importance of the management network fault is significant. Network fault detection, positioning and recovery are the important content of network fault management. The complexity of network technology brought a lot of difficulties to fault detection work, and artificial immune system provides a new idea for fault detection technology, because it has many advantages.This paper intensively studies on the biological immune mechanism, and makes detailed summary on the development and application of the existing artificial immune technology. In order to reduce the fault detection rate and improve the self-adaptive capability in network fault detection, this paper put forward a kind of network fault detection method based on self-noself mode and danger mode. Main job is as follows:(1) Put forward an immune detection model based on the hazard mode, through the contradistinction of the advantages and disadvantages of the two models.(2) Intensively study on self-noself recognition model and dangerous recognition model, analyze their advantages and disadvantages. Analyze dendritic cells algorithm in detail.(3) Design the network fault detection model based on danger mode, based on the research of the network fault detection technology and artificial immune theory. This model is divided into nine modules, antigen and danger signal collection module, antigen and danger signals presenting module, DCA detection module, SNS detection module, abnormal confirm module, danger zone establish module, detectors update module, self-set update module and immune response module. Design the detailed process of each module, quantify the input and output data, and analyze the relationship between modules.(4) Design the experiment scheme. Take the small office network for example to simulate, prove the feasibility and effectiveness of the model proposed.

Related Dissertations

  1. Improving of Artificial Imune Classification and Anomaly Detection Algorithms,R392.1
  2. Research and Application of Swarm Intelligence Algorithm,TP301.6
  3. Virus Detection Technology Based on Artificial Immune,TP393.08
  4. Logistic System Equipment,TH69
  5. Fault Diagnosis Method of Power Transformer Base on Artificial Immune and Mind Evolution Algorithm,TM407
  6. Research on Technique of Node Failure Detection in Cluster-based Ad Hoc Networks,TN929.5
  7. Study of Medical Image Registration Methods Based on Multi-features and Artificial Immune Algorithm,TP391.41
  8. Surface Defects Detection Techniques for Steel Strips Based on Artificial Immune System,TP274
  9. Design and Implementation of Maintenance Management System for Campus Network Failures,TP311.52
  10. Application of Ant Colony Immune Algorithms in Load Distribution Optimization of Tandem Cold Rolling Mills,TG335.12
  11. Image Segmentation Based on Arificial Immune Network,TP391.41
  12. A Study on a Grid Clustering Algorithm Based on Adaptive Artificial Immune Evolution,TP311.13
  13. Research on Application Method of Software Reliability Model,TP311.52
  14. The Research on Intrusion Detection System Based on Immune Neural Network and Leaky Bucket Algorithm,TP393.08
  15. Research on Detector Generating Algorithm Based on Artificial Immune System,TP393.08
  16. Based on artificial immune system for remote sensing image retrieval algorithm,TP751
  17. Research and Design of Elevator Group Control System Based on Artificial Immune Algorithm,TM921.5
  18. Multi-objective Artificial Immune Algorithm and Its Applications in Reactive Power Optimization,TM714
  19. Research on Multi-Next Hop Routing Technology for Fast Network Recovery,TN915.02
  20. Research on Virus Detection Based on Artificial Immune System,TP309.5
  21. Research of Motion Object Detection and Tracking in Video Image Sequences,TP391.41

CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Computer network > General issues > Computer networks, test , run
© 2012 www.DissertationTopic.Net  Mobile