Machine learning type domain name system security defense method and device

A domain name system security and machine learning technology, applied in the field of machine learning domain name system security defense, can solve the problems of large manpower and material resources, low response efficiency, integration, performance, etc., to achieve the effect of protecting Internet security

Active Publication Date: 2015-04-08
BEIJING QIHOO TECH CO LTD
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  • Abstract
  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

[0008] At present, various means of attack on various targets as mentioned above can be overcome by those skilled in the art with targeted technologies. However, it is still difficult to organically integrate these security technologies. When it comes t

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  • Machine learning type domain name system security defense method and device
  • Machine learning type domain name system security defense method and device
  • Machine learning type domain name system security defense method and device

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Embodiment Construction

[0087] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0088] Those skilled in the art will understand that unless otherwise stated, the singular forms "a", "an", "said" and "the" used herein may also include plural forms. It should be further understood that the word "comprising" used in the description of the present invention refers to the presence of said features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, Integers, steps, operations, elements, components, and / or groups thereof. It will be unders...

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Abstract

The invention relates to a machine learning type domain name system security defense method. The method includes the following steps: performing characteristic contrast on data included in received domain name resolution requests and learning result data obtained by historical domain name resolution record operation according to given regulations; resolving for the characteristic-conformed domain name resolution request to generate a domain name resolution record; responding to the corresponding domain name resolution request with the domain name resolution record. Besides, the invention further discloses a device corresponding to the device according to modularized thinking. By implementation of the method and the device, a DNS (domain name server) can understand DNS attacks more intelligently, operation efficiency is optimized, and the function of a disaster recovery system is achieved.

Description

technical field [0001] The invention relates to Internet security technology, and relates to a machine learning type domain name system security defense method and device. Background technique [0002] Domain Name System (DNS) is a basic Internet protocol. Compared with various WEB services with relatively complete prevention measures at present, the defense based on DNS is still weak, and it is easy to be attacked by hackers. Hackers can implement DNS attacks in many ways, among which DNS amplification attack is a new type of denial of service attack. [0003] The characteristics of DNS itself determine that it can be used as an "attack amplifier" to carry out DDOS attacks. One is the weakness of the DNS protocol itself, so that both the query request message and the query response message can be forged, and the network attacker can forge the attacked host to send a DNS query request to the DNS server through a false source address, and at the same time hide the attacker’s...

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Application Information

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IPC IPC(8): H04L29/06
CPCH04L63/1458H04L61/4511
Inventor 濮灿谭晓生齐向东
Owner BEIJING QIHOO TECH CO LTD
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