论文标题
学习无线传感器网络中蠕虫的传播
Learning the Propagation of Worms in Wireless Sensor Networks
论文作者
论文摘要
无线传感器网络（WSN）由空间分布的传感器组成，被认为容易受到蠕虫及其变体的攻击。由于蠕虫传播的独特策略，动态行为因传感器的不同特征而异。建模蠕虫的传播可以帮助我们了解蠕虫攻击行为并分析传播程序。在本文中，我们在各种蠕虫下设计了一个通信模型。我们旨在学习我们提出的模型，以分析得出竞争性蠕虫传播的动态。我们开发了一个新的搜索空间与复杂的神经网络模型相结合。此外，实验结果验证了我们的分析，并证明了我们提出的学习算法的性能。
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.
