Learning the Propagation of Worms in Wireless Sensor Networks
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.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
A Keller-Segel model for C elegans L1 aggregation
We describe a mathematical model for the aggregation of starved first-stage C elegans larvae (L1s). We propose that starved L1s produce and respond chemotactically to two labile diffusible chemical signals, a short-range…
Machine Learning Epidemic Predictions Using Agent-based Wireless Sensor Network Models
The lack of epidemiological data in wireless sensor networks (WSNs) is a fundamental difficulty in constructing robust models to forecast and mitigate threats such as viruses and worms. Many studies have examined differe…
Olfactory learning alters navigation strategies and behavioral variability in C. elegans
Animals adjust their behavioral response to sensory input adaptively depending on past experiences. The flexible brain computation is crucial for survival and is of great interest in neuroscience. The nematode C. elegans…
DescriptiveVision Meets Wireless Positioning: Effective Person Re-identification with Recurrent Context Propagation
Existing person re-identification methods rely on the visual sensor to capture the pedestrians. The image or video data from visual sensor inevitably suffers the occlusion and dramatic variations of pedestrian postures, …
Person Re-IdentificationModeling and Analysis of Wildfire Detection using Wireless Sensor Network with Poisson Deployment
In many forest fire incidences, late detection of the fire has lead to severe damages to the forest and human property requiring more resources to gain control over the fire. An early warning and immediate response syste…
Fire Detection