Research Article
Learning the Propagation of Worms in Wireless Sensor Networks
@INPROCEEDINGS{10.1007/978-3-031-27041-3_8, author={Yifan Wang and Siqi Wang and Guangmo Tong}, title={Learning the Propagation of Worms in Wireless Sensor Networks}, proceedings={Wireless Internet. 15th EAI International Conference, WiCON 2022, Virtual Event, November 2022, Proceedings}, proceedings_a={WICON}, year={2023}, month={2}, keywords={Wireless sensor network Multi-worm propagation Complex neural network}, doi={10.1007/978-3-031-27041-3_8} }- Yifan Wang
Siqi Wang
Guangmo Tong
Year: 2023
Learning the Propagation of Worms in Wireless Sensor Networks
WICON
Springer
DOI: 10.1007/978-3-031-27041-3_8
Abstract
Wireless sensor networks (WSNs) are composed of spatially distributed sensors and are considered vulnerable to attacks by worms and their variants. Due to the distinct strategies of worms propagation, the dynamic behavior varies depending on the different features of the sensors. Modeling the spread of worms can help us understand the worm attack behaviors and analyze the propagation procedure. In this paper, we design a communication model under various worms. We aim to learn our proposed model to analytically derive the dynamics of competitive worms propagation. We develop a new searching space combined with complex neural network models. Furthermore, the experiment results verified our analysis and demonstrated the performance of our proposed learning algorithms.
