LDDoS attack time synchronization and flow convergence method based on cross correlation

Abstract

The invention relates to an LDDoS attack time synchronization and flow convergence method based on cross correlation. The invention relates to flow convergence and time synchronization of LDDoS (Low-rate Distributed Denial of Service) attacks. The LDDoS attacks are formed through gathering of a large quantity of organized LDDoS attacks. A signal cross correlation algorithm aims at ensuring that each distributed attack pulse is gathered and accurately synchronized at a sufferer end so as to form a powerful pulse. A simulation result shows that an LDDoS attack effect of attack pulses adjusted through a signal cross correlation algorithm is significantly reinforced.

Description

technical field [0001] The invention relates to a low-rate denial of service LDDoS (Low-rate Distributed Denial of Service) attack method, which improves the effect of the LDDoS attack. It belongs to the technical field of intrusion detection (Intrusion Detection) in the field of computer network security. Background technique [0002] A denial of service attack is a brute force attack that prevents network devices such as hosts, servers, and routers under attack from providing or receiving services normally. The attacker occupies a large amount of network resources (such as network bandwidth or CPU cycles) by sending a large number of worthless data packets to the victim, so as to achieve the purpose of making the victim's host system unable to operate normally or even paralyzed. For the victim whose index is not high, the effect of DoS attack will be better and more obvious. Implementing DoS attacks does not require very complicated skills, and with the improvement of so...

AI Technical Summary

Problems solved by technology

LDDoS has not exploded on a large scale in the network at present, and most of the research on it is still in

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