59 citations · 268 across the 22 of their papers we have counts for
23 papers
Binary Spatial Random Field Reconstruction from Non-Gaussian Inhomogeneous Time-series Observations
Shunan Sheng, Qikun Xiang, Ido Nevat +1
We develop a new model for spatial random field reconstruction of a binary-valued spatial phenomenon. In our model, sensors are deployed in a wireless sensor network across a large…
A Bonus-Malus Framework for Cyber Risk Insurance and Optimal Cybersecurity Provisioning
Qikun Xiang, Ariel Neufeld, Gareth W. Peters +2
The cyber risk insurance market is at a nascent stage of its development, even as the magnitude of cyber losses is significant and the rate of cyber loss events is increasing. Exis…
Cost-aware Feature Selection for IoT Device Classification
Biswadeep Chakraborty, Dinil Mon Divakaran, Ido Nevat +2
Classification of IoT devices into different types is of paramount importance, from multiple perspectives, including security and privacy aspects. Recent works have explored machin…
Bayesian Spatial Field Reconstruction with Unknown Distortions in Sensor Networks
Qikun Xiang, Ido Nevat, Gareth W. Peters
Spatial regression of random fields based on potentially biased sensing information is proposed in this paper. One major concern in such applications is that since it is not known…
Multimodal Data Fusion of Non-Gaussian Spatial Fields in Sensor Networks
Pengfei Zhang, Gareth W. Peters, Ido Nevat +2
We develop a robust data fusion algorithm for field reconstruction of multiple physical phenomena. The contribution of this paper is twofold: First, we demonstrate how multi-spatia…
Spatial Field Reconstruction and Sensor Selection in Heterogeneous Sensor Networks with Stochastic Energy Harvesting
Pengfei Zhang, Ido Nevat, Gareth W. Peters +2
We address the two fundamental problems of spatial field reconstruction and sensor selection in het- erogeneous sensor networks. We consider the case where two types of sensors are…