53 citations · 119 across the 9 of their papers we have counts for
7 papers · 1 filter
Multidimensional Uncertainty-Aware Evidential Neural Networks
Yibo Hu, Yuzhe Ou, Xujiang Zhao +2
Traditional deep neural networks (NNs) have significantly contributed to the state-of-the-art performance in the task of classification under various application domains. However,…
A Survey on Centrality Metrics and Their Implications in Network Resilience
Zelin Wan, Yash Mahajan, Beom Woo Kang +2
Centrality metrics have been used in various networks, such as communication, social, biological, geographic, or contact networks. In particular, they have been used in order to st…
Uncertainty Aware Semi-Supervised Learning on Graph Data
Xujiang Zhao, Feng Chen, Shu Hu +1
Thanks to graph neural networks (GNNs), semi-supervised node classification has shown the state-of-the-art performance in graph data. However, GNNs have not considered different ty…
Diversity-By-Design for Dependable and Secure Cyber-Physical Systems: A Survey
Qisheng Zhang, Abdullah Zubair Mohammed, Zelin Wan +2
Diversity-based security approaches have been studied for several decades since the 1970's. The concept of diversity-by-design emerged in the 1980's and, since then, diversity-base…
Vulnerability-Aware Resilient Networks: Software Diversity-based Network Adaptation
Qisheng Zhang, Jin-Hee Cho, Terrence J. Moore +1
By leveraging the principle of software polyculture to ensure security in a network, we proposed a vulnerability-based software diversity metric to determine how a network topology…
Proactive Defense for Internet-of-Things: Integrating Moving Target Defense with Cyberdeception
Mengmeng Ge, Jin-Hee Cho, Dong Seong Kim +2
Resource constrained Internet-of-Things (IoT) devices are highly likely to be compromised by attackers because strong security protections may not be suitable to be deployed. This…