Ensuring security in a communication network is one of the underlying challenges of wireless sensor network due to critical operational constraints. Wireless sensor network (WSN) is an easy target of malware (worm, virus, malicious code, etc.) attacks due to weak security mechanism. Malware propagation outsets from a compromised sensor node and spreads in the whole WSN using wireless communication. Owing to epidemic nature of worm transmission in the network, it is essential to implement a defence mechanism against worm attacks. Motivated by malware quarantine, we propose an improved mathematical model which aggregates quarantine and vaccination techniques. We obtain the equilibrium points and other crucial parameters of the proposed model. We analyse the system stability under different conditions. Basic reproduction number determines whether malware is extinct in the system or not. It helps in the calculation of cutoff limit of the node density and communication radius. The impingement of various parameters in this model is analysed. The performance is observed to be significantly ameliorated than existing models and verified by extensive simulation results in terms of reducing the number of infectious nodes and decreasing the rate of malware propagation.

由于关键的操作限制，确保通信网络的安全性是无线传感器网络的基本挑战之一。由于安全机制薄弱，无线传感器网络（WSN）容易成为恶意软件（蠕虫，病毒，恶意代码等）攻击的目标。恶意软件的传播从受到感染的传感器节点开始，并使用无线通信在整个WSN中传播。由于蠕虫在网络中的传播具有流行性，因此有必要实施一种针对蠕虫攻击的防御机制。受恶意软件隔离的启发，我们提出了一种改进的数学模型，该模型汇总了隔离和疫苗接种技术。我们获得了所提出模型的平衡点和其他关键参数。我们分析了不同条件下的系统稳定性。基本复制号确定系统中是否存在恶意软件。它有助于计算节点密度和通信半径的截止极限。分析了该模型中各种参数的影响。可以观察到，与现有模型相比，该性能明显得到改善，并通过广泛的仿真结果进行了验证，从而减少了感染节点的数量并降低了恶意软件的传播速度。