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Trust model in wireless sensor network intrusion detection
Author: WangYanDong
Tutor: KangSongLin
School: Central South University
Course: Information and Communication Engineering
Keywords: Trust model Malicious nodes to identify Screening mechanism Trusted Computing Trust value
CLC: TN915.08
Type: Master's thesis
Year: 2011
Downloads: 54
Quote: 0
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Abstract
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As a new emerging technology , wireless sensor networks is still in its infancy , is also exploring and demonstration phase of the study of a variety of related technologies , is a major research focus . The prerequisite of network security as a network capable of normal operation and work is currently one of the hottest research . Malicious nodes in wireless sensor networks , the trust model in wireless sensor network intrusion detection , the establishment of screening to the event , the calculation of the trust value , update and distribute as core content detection model . The main contents are: to propose a screening mechanism to improve the identification of malicious nodes and its behavior , and can improve the efficiency of the model , to suppress interference sexual assault , motivate node positive ; update part of the introduction of the Trusted Computing weights to adjust node history behavior with the current behavior of the new trust value to prevent malicious nodes accumulation of high trust value first and then destroy the network behavior ; proposed reward system to motivate node to perform monitoring tasks ; according to the characteristics of wireless sensor networks based on event-driven proposed based, event-driven and time window mechanism , supplemented by the distribution , the distribution of the trust value is more flexible, more suitable for practical application of wireless sensor networks . The simulation results show that the proposed model can be quickly and efficiently identify malicious nodes , the wireless sensor networks can still continue the normal and safe operation compromised . Compared with other model simulation and experimental results , both in accuracy and fast in terms of malicious nodes to identify , or on the contribution of the network robustness , the method can play a very good role.
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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Communicate > Communication network > General issues > Network Security
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