Artificial immunization-based MANET network attack detection method

A detection method and network attack technology, applied in the field of network communication, can solve the problems of increasing the difficulty of detection and difficulty in distinguishing, and achieve the effect of ideal effect, low false positive rate and good application prospect.

Inactive Publication Date: 2011-02-16
西宁金智电子有限公司
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Problems solved by technology

[0004] There are many types of MAC layer attacks in the IEEE 802.11 protocol, and each type of attack method is different. Due to the random characteristics of the

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  • Artificial immunization-based MANET network attack detection method
  • Artificial immunization-based MANET network attack detection method
  • Artificial immunization-based MANET network attack detection method

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Embodiment Construction

[0033] In order to make the purpose, implementation and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0034] see figure 1 , introduce the basic flow of the attack detection method of the present invention:

[0035](1) Malicious attack detection: Malicious attacks aim at preventing channel usage and destroying node data, which usually cause serious declines in various performance indicators such as network delay, throughput, and packet loss rate, and the circumstances are serious. Therefore, the detection of malicious attacks becomes the first barrier of artificial immunity. The common result of different malicious attack behaviors is that the frame count of the channel every Δt time is seriously decreased. Therefore, the malicious attack takes the frame count of the channel every Δt time as the characteristic sequence, and adopts the binary cumulative sliding windo...

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Abstract

The invention discloses an artificial immunization-based MANET network attack detection method, which achieves low error judgment rate and high detection speed. The method comprises five parts, namely recording of a node transmission frame counting sequence, recording of a channel transmission frame counting sequence, a double-element accumulation sliding window detection method, a residual sliding window threshold judgment method and a gene matching detection method. When the transmission frame counting sequence at intervals of delta t time aiming at a hostile attack recording channel is used as a characteristic sequence, the double-element accumulation sliding window detection method id adopted; the private attack detection is divided into two conditions, namely when the detection node is in a saturated state, the transmission frame counting sequence of each node t intervals of delta t time is recorded, initial detection is performed by adopting the residual sliding window threshold judgment method, and the withdrawal time sequence of the private node is recorded, coded and geneticized and then used as a gene detection body; and when the detection node is in an unsaturated state, the gene matching detection method is adopted. The method is suitable for comprehensive detection of MAC layer attack of an MANET network.

Description

technical field [0001] The present invention generally relates to the technical field of network communication, and more specifically relates to a method for comprehensively detecting network attacks on the MAC layer of a MANET network. Background technique [0002] MANET is a distributed system composed of many autonomous nodes. Due to the lack of centralized management and control, autonomous nodes aim at malicious damage or pursuing their own interests, launching security attacks on the network and reducing the credibility of the network. These attacks mainly include: at the routing layer, the packets generated by other nodes either do not participate in routing or do not forward data; at the MAC layer, illegal means are used to seize or interfere with the use of channels; Noise ratio, or choose an appropriate waveform to reduce interference, etc. Among them, MAC layer attacks are the most typical. This is because: MAC layer security attacks directly affect wireless cha...

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Application Information

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IPC IPC(8): H04L29/06H04L12/26
Inventor 杜秀娟金志刚杜秀菊黄科军
Owner 西宁金智电子有限公司
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