Intrusion detection system of wireless sensor network based on sniffer

A wireless sensor network and intrusion detection technology, applied in wireless communication, network topology, electrical components, etc., can solve the problems of sensor node communication, computing resources, limited energy, etc., and achieve the effect of improving accuracy

Active Publication Date: 2010-12-01
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Problems solved by technology

Due to the limited communication, computing resources, and energy of sensor n

Method used

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Example Embodiment

[0025] The wireless sensor network intrusion detection method based on sniffer of the present invention includes the following steps:

[0026] 1. In addition to the original sensor network node, add several sniffer listening nodes, which can listen to all frame signals in the coverage area;

[0027] 2. The monitored information is sent to the host, and the host is responsible for intrusion detection judgment and alarming. Since the host does not have restrictions on communication, computing resources, energy, etc., more complex algorithms can be used to achieve abnormal intrusion detection, including feature-based The technology, as well as the prediction model obtained through intelligent algorithm training, performs abnormal-based judgments and alarms at different levels (nodes, sniffer coverage areas, and the entire network);

[0028] 3. When implementing anomaly-based intrusion detection for each node through an intelligent algorithm, the training data usually does not have label...

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Abstract

The present invention discloses an intrusion detection system of a wireless sensor network based on sniffer, comprising the following steps: sample training: 1), training the sample data of each node by using a Co-training algorithm in semi-supervised study and obtaining predictive model of each node; 2), training the sample data covered by each sniffer by using a minimax probability method (MPM)having a confidence value and obtaining the predictive model of each sniffer; 3), training the data monitored by all the sniffer by using a kernel vector machine algorithm in a support vector machinefor solving the big sample training problem, obtaining the predictive model of the entire network; monitoring in real time: 4), adding a plurality of sniffer detecting nodes in the wireless sensor network, detecting all the frame signals in the wireless sensor network by the sniffer detecting node; 5) sending the frame signal to a host by the sniffer detecting node, performing the intrusion detection judgment and alarming to the different grades (node, sniffer covering domain, entire network) via a predictive model obtained by a traditional feature detection and an intelligent algorithm training by the host.

Description

technical field [0001] The invention relates to a sniffer-based intrusion detection method for a wireless sensor network, and belongs to the technical field of intrusion detection methods for a wireless sensor network. Background technique [0002] Wireless sensor network (wireless sensor network, WSN) is composed of a large number of cheap micro sensor nodes deployed in the monitoring area, and each node forms a multi-hop self-organizing network through wireless communication. Due to the lack of network infrastructure, wireless sensor networks will face threats from many security factors such as false routing information, selective forwarding, sinkholes, wormholes, HELLO Flood attacks, and confirmation spoofing in addition to the threats faced by traditional networks. However, due to the characteristics of wireless sensor networks, firewall technology cannot be used to protect them, and intrusion detection technology has become an important way to solve the security problem...

Claims

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Application Information

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IPC IPC(8): H04W12/12H04W84/18H04W12/121
Inventor 任勇军顾彬方黎明王建东
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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