Dissertation > Excellent graduate degree dissertation topics show

Research on Defensive Method of SYN Flood Attack Based on the Network Processor

Author: LaiYunE
Tutor: FuYuLi
School: South China University of Technology
Course: Signal and Information Processing
Keywords: DDoS SYN Flood Attack Intrusion Detection Network Processor IXP2850
CLC: TP393.08
Type: Master's thesis
Year: 2011
Downloads: 46
Quote: 0
Read: Download Dissertation

Abstract


With the in-depth development of network technology , network attacks also become varied, facing a huge threat to network security . Currently the most popular means of attack is a distributed denial of service attack DDoS (Distributed Denial of Service ) . This is when the attacker by sending attack packets to the target system , cause the target system to run out of storage space , so that the target system can not respond to the normal customer service requests . DDoS attacks are a variety of ways , SYN Flood attack is one of the most a . In this way the use of the defects of the TCP / IP protocol itself has strong concealment , damage is great and simple attack . Therefore, a study of SYN Flood attack defense method has a strong practical significance . Intel IXP2850 representatives of the second generation network processor , which uses a distributed , multi-processor , multi-threaded architecture , the introduction of a hardware encryption and decryption unit , and has a fully programmable , for the development of the second floor to the seven-story network application provides a new hardware and software platform . SYN Flood attack defense belongs to the category of intrusion detection technology . This research project support high-speed network processor - based intrusion detection system \, which is also an important part of the intrusion detection system of . The innovation of this paper is that : the algorithm based on protocol analysis and statistical defense SYN Flood attack . The algorithm fully consider the characteristics of the hardware and software architecture of the network processor IXP2850 , can quickly analyze the protocol and statistical information needed , and judge whether the attack and to take appropriate defensive measures . The algorithm is fast and efficient, and has a higher accuracy rate and better defense .

Related Dissertations

  1. Intrusion detection based on the ultrasonic echo envelope in the military security patrols,E919
  2. Research on Intrusion Detection Technology of Wireless Sensor Networks Based on Behavior Trust,TP212.9
  3. Association rule mining based Intrusion Detection System Research and Implementation,TP393.08
  4. The Research on Intrusion Detection System Based on Machine Learning,TP393.08
  5. The Research of Attack Source Traceback in Distributed Denial-of-Service Attacks Based on VoIP,TP393.08
  6. Intrusion Detection in Mobile Ad Hoc Networks: A Timed Finite State Machines Approach,TN929.5
  7. An Intrusion Detection System for High-Speed Networks,TP393.08
  8. Research on the Security in Wireless Sensor Network,TN915.08
  9. Sensitivity Analysis and Application of Orthogonal Weight Function Neural Network,TP183
  10. DDoS detection technology,TP393.08
  11. The Study of Intelligent Intrusion Detection System Based on Neural Network in Linux,TP393.08
  12. Petri net -based network intrusion detection system Research and Implementation,TP393.08
  13. FSVM -based data mining method and its application to intrusion detection research,TP393.08
  14. Web-based intrusion detection system logs Design and Implementation,TP393.08
  15. IPv4-IPv6 transition technologies CIDF Based Intrusion Detection System,TP393.08
  16. Intrusion detection based on data mining technology research,TP393.08
  17. Mechanisms based on trust metrics Research and Implementation of Intrusion Detection System,TP393.08
  18. Web Quality of Experience Measurement by Using Network Processor,TP393.09
  19. Research on Parallel and Distributed Intrusion Detection Technologies,TP393.08
  20. Attribute Reduction Based on Rough Set and Weighted SVM intrusion detection method,TP393.08
  21. Research of Intruding Detection Based on DCA and NSA Algorithm,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