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Pre-Vaccination and Quarantine Approach for Defense Against Worms Propagation of Malicious Objects in Wireless Sensor Networks

机译:用于预防无线传感器网络中恶意对象蠕虫传播的预防接种和隔离方法

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摘要

Network security poses a challenge to wireless sensor networks (WSNs) achieving its true potential. It is hard to tackle due to operational constraints of networks. Worms have become an emergent threat to the wireless networks. The spread of worms in the network is epidemic in nature. This article proposes a novel mathematical model with pre-vaccination and quarantine for study of worm propagation dynamics in WSN that is based on epidemic model. Further, the authors have devised an expression to determine threshold communication radius and node density. The objective of this proposed model is to study the propagation dynamics of worms in wireless sensor networks. Through the model, investigate the stability condition of networks in the presence of malicious codes. The experimental studies indicate that the proposed model outperforms in terms of security and energy efficiency over other existing models. It is a leap toward worm-controlling mechanisms in sensor networks. Finally, the control mechanism and performance of the proposed model is validated through extensive simulation results.
机译:网络安全对无线传感器网络(WSN)发挥其真正潜力提出了挑战。由于网络的操作限制,很难解决。蠕虫已成为对无线网络的紧急威胁。蠕虫在网络中的传播本质上是流行的。本文基于流行病模型,提出了一种新型的带有预接种和隔离的数学模型,用于研究WSN中蠕虫的传播动态。此外,作者设计了一种表达式来确定阈值通信半径和节点密度。该模型的目的是研究蠕虫在无线传感器网络中的传播动力学。通过该模型,研究存在恶意代码时网络的稳定性状况。实验研究表明,所提出的模型在安全性和能源效率方面优于其他现有模型。这是传感器网络中蠕虫控制机制的飞跃。最后,通过广泛的仿真结果验证了所提出模型的控制机制和性能。

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