Research on Cloud Trust Model for Malicious Node Detection in Wireless Sensor Network

Research on Cloud Trust Model for Malicious Node Detection in Wireless Sensor Network
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发表时间:
2012
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通讯作者:
Zhao Jing
Zhao Jing
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其他
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作者:
Zhao Jing

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无线传感器网络(WSN)是由大量廉价的传感器组成的网络,用于采集指定区域内被感测物体的信息。在大多数无线传感器网络的应用中,都需要安全方案来保证通信的安全性。然而,基于密钥的安全方案不能有效地应对来自网络内部的攻击,也不能有效地识别出恶意节点。因此,采用信任模型来区分恶意节点。基于信任模型和云理论,提出基于云的信任模型CTM(cloud - Based trust model)。分析和仿真结果表明,CTM能够有效地识别出恶意节点。
WSN(Wireless Sensor Network)is formed by a large number of cheap sensors,and is used to collect information of sensed objects in assigned area.In most applications of WSN,security schemes are needed to guarantee the communication security.However,the security schemes based on key can not efficiently deal with the attacks from the inside of the network,and distinguish the malicious nodes.Therefore,trust models are applied to distinguish malicious nodes.Based on trust model and cloud theory,CTM(Cloud-based Trust Model) is proposed in this paper.The analysis and simulation results show that,CTM can distinguish malicious nodes efficiently.