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DDoS flooding attack detection through a step-by-step investigation

DDoS flooding attack detection through a step-by-step investigation. IEEE 2011. Jae-Hyun Jun, Hyunju Oh, Sung-Ho Kim. 102064514 許哲鳴. Page 1/16. Outline. Introduction Principle of entropy DDoS attack detection method by using entropy The result of experiment Conclusion. Page 2/16.

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DDoS flooding attack detection through a step-by-step investigation

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  1. DDoS flooding attack detection through a step-by-step investigation IEEE 2011 Jae-Hyun Jun, HyunjuOh, Sung-Ho Kim 102064514許哲鳴 Page 1/16

  2. Outline • Introduction • Principle of entropy • DDoS attack detection method by using entropy • The result of experiment • Conclusion Page 2/16

  3. Introduction • Distributed Denial of Service (DDoS) • Need an efficient real-time detection. • Entropy-based detection mechanism Page 3/16

  4. Entropy(熵) Entropy H is defined as Pi is the probability mass function which is a chance to be observed during random period. • If entropy decreases, uncertainty decreases. Page 4/16

  5. DDoSattack detection method by using entropy DDoS attack detection method by using entropy Page 5/16

  6. DDoSattack detection method by using entropy • Step 1: Volume threshold If collected traffic amount during time window is over volume threshold (T1), it judges as first danger and it sends them to next detecting step Page 6/16

  7. DDoSattack detection method by using entropy • Step 2: entropy threshold (T2) of destination IP address. • Entropy decreases: If traffic in router are heading to some certain IP address. Danger! • Entropy increases: If traffic in router are heading to many destination IP address. Page 7/16

  8. DDoSattack detection method by using entropy • Step 3: entropy threshold (T3) of transmission port number. • Entropy decreases: If a packet has few transmission numbers. • Entropy increases: If a packet has various transmission numbers. Danger! Page 8/16

  9. DDoSattack detection method by using entropy • Step 4 To compare the packet creation rate threshold (T4) per second Page 9/16

  10. The result of experiment Create normal traffic for web service Time widow = 6 seconds Create DDoS attack Page 10/16

  11. The result of experiment Volume threshold T1 = 1500 Traffic amount flow in router_5 when DDoS attack Page 11/16

  12. The result of experiment threshold T2 = 0.4 The entropy of traffic destination IP address flowed in router_5 when DDoS attack happens Page 12/16

  13. The result of experiment threshold T3 = 0.8 The entropy of source port number of traffic judged the second danger Page 13/16

  14. The result of experiment threshold T4 = 60 Packet creation rate Page 14/16

  15. The result of experiment The traffic came to sever after applying DDoS attack detection method by using entropy Page 15/16

  16. Conclusion • The detection method based on entropy is better than the detection method based on volume. • There will be more necessity to study detection method with entropy. Page 16/16

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