Dissertation > Excellent graduate degree dissertation topics show

The Research on Intrusion Detection System Based on Immune Neural Network and Leaky Bucket Algorithm

Author: QinJiZha
Tutor: SunJianHua
School: Hunan University
Course: Computer System Architecture
Keywords: intrusion detection artificial Immune BP network system call
CLC: TP393.08
Type: Master's thesis
Year: 2009
Downloads: 26
Quote: 0
Read: Download Dissertation

Abstract


With the rapid development of computer and network technologies, computer system has been developed to a complicated and interconnected opening system, which results in more serious problems of intrusion detection. The basic function of biological immune system is to recognize self and nonself, and then to classify and eliminate nonself,which has a lot of similarities with IDS system, and it make the immune system offer a natural research template for Intrusion Detection. Biological immune system of adaptive, self-learning, self-organization process of active defense for the intrusion detection to provide a new way of thinking, traditional intrusion detection methods can no longer meet the needs of a modern complex network security, how to network computers and illegal acts active and effective defense suppression, computer security has become an important problem demanding prompt solution.The hybrid BP and leaky bucket neural network model that can be employed for both anomaly detection and misuse detection is presented in this paper. The IDSs using the hybrid neural network can detect temporally dispersed and possibly collaborative attacks effectively because of its memory of past events. The BP network is employed as a real-time pattern classification and the leaky bucket is employed to restore the memory of past events. The outputs of BP network is the inputs of the leaky bucket. The IDSs using the hybrid neural network are evaluated against the intrusion detection evaluation data sponsored by U.S. Defense Advanced Research Projects Agency (DARPA). Experimental results are presented in ROC curves. Experiment shows IDSs using this hybrid neural network improve the detection rate and decrease false positive rate effectively.

Related Dissertations

  1. BP network optimization based on genetic algorithm optimization of the biodiesel process,TE667
  2. Intrusion detection based on the ultrasonic echo envelope in the military security patrols,E919
  3. An Intrusion Detection System for High-Speed Networks,TP393.08
  4. The Study of Intelligent Intrusion Detection System Based on Neural Network in Linux,TP393.08
  5. Helicopter transmission chain fault diagnosis and health management system design and key technology research,V267
  6. Research on an Immune Genetic Algorithm and Its Application on TSP,TP18
  7. Multi-objective Artificial Immune Algorithm and Its Applications in Reactive Power Optimization,TM714
  8. Improving of Artificial Imune Classification and Anomaly Detection Algorithms,R392.1
  9. Research and Design of Elevator Group Control System Based on Artificial Immune Algorithm,TM921.5
  10. The Failure Recognition Research of GIS Partial Discharge Signal Measured by the Pulse Current Method,TM595
  11. Fuzzy PID control study of SBR aeration tank DO,X703
  12. Support Vector Machine and Its Application in Intrusion Detection,O212
  13. Selection and Evaluation of Emergency Material Storage Agreement Enterprise Based on BP Network,F224
  14. Research on Virus Detection Based on Artificial Immune System,TP309.5
  15. A Study on Classification for Leguminous Forage Based on Image Recognition Technology,TP391.41
  16. The Research of Automatic Recognition of Cotton’s Top,TP391.41
  17. Research of Motion Object Detection and Tracking in Video Image Sequences,TP391.41
  18. Research and Application of Clustering Ensemble Algorithms Based on Weight Designing,TP301.6
  19. Lightweight Intrusion Detection System Based on Feature Selection,TP393.08
  20. Research on the Key Technologies of Intelligent Intrusion Detection System,TP393.08
  21. Improving Performance of Deep Packet Inspection Based on Pattern Matching,TP393.08

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