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A recent study in Scientific Reports introduces a stochastic SEIRS model to dissect the intricate dynamics of worm transmission in wireless sensor networks (WSNs). By integrating environmental randomness, the research uncovers critical insights into malware propagation, paving the way for proactive control strategies to fortify network security against malicious attacks.

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China ,Noopur Jain ,Susha Cheriyedath ,Noopur Jainmay ,Worm Propagation In Wireless Sensor Networks ,Wireless Sensor Networks ,Scientific Reports ,Randomness Integration ,Function Analysis ,Stationary Distribution Analysis ,Quantitative Verification ,

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