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Title:
DOS ATTACK DETECTION METHOD AND APPARATUS FOR SDN, AND MEDIUM
Document Type and Number:
WIPO Patent Application WO/2023/115845
Kind Code:
A1
Abstract:
Disclosed in the present application are a DOS attack detection method and apparatus for an SDN, and a medium. The method comprises: acquiring flow table data to be subjected to detection; calculating the maximum growth rate value of packet matching of said flow table data, wherein the maximum growth rate value of packet matching is the maximum value of the number of increased packet matches within a unit time; when the maximum growth rate value of packet matching exceeds a set threshold value, calling a DeepFM model to perform detection on said flow table data; and if the DeepFM model detects an attack flow, determining that an SDN suffers from a DOS attack. In this way, the maximum growth rate of packet matching is combined with a DeepFM model, the possibility of an attack is determined first, and detection is then realized by means of model training, such that the increase of the load of a controller that is caused by frequently calling a model is avoided, thereby achieving better performance during attack detection; and then, the false alarm rate can be reduced, thereby improving the accuracy.

Inventors:
WANG JING (CN)
JIANG QISHENG (CN)
ZHOU HONGMEI (CN)
HU HANGYU (CN)
XIA ZHUOQUN (CN)
LIAO SHUGUANG (CN)
XING LI (CN)
Application Number:
PCT/CN2022/099297
Publication Date:
June 29, 2023
Filing Date:
June 17, 2022
Export Citation:
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Assignee:
UNIV CHANGSHA SCI & TECH (CN)
CHANGSHA MAXXOM HIGH TECH CO LTD (CN)
International Classes:
H04L9/40
Foreign References:
CN112668688A2021-04-16
CN111181939A2020-05-19
Other References:
JI YUCHEN; LI XIAOYONG: "An efficient intrusion detection model based on deepFM", 2020 IEEE 4TH INFORMATION TECHNOLOGY, NETWORKING, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (ITNEC), IEEE, vol. 1, 12 June 2020 (2020-06-12), pages 778 - 783, XP033766532, DOI: 10.1109/ITNEC48623.2020.9084722
Attorney, Agent or Firm:
JIAQUAN IP LAW (CN)
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