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20182023
most citedDeep Learning-Based Anomaly Detection in Cyber-Physical Systems: Progress and Opportunities

52 citations · 123 across the 12 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

physics.soc-ph2020★ 1 cited

Should bike sharing continue operating during the COVID-19 pandemic? Empirical findings from Nanjing, China

Mingzhuang Hua, Xuewu Chen, Long Cheng +1

Coronavirus disease 2019 (COVID-19) has triggered a worldwide outbreak of pandemic, and transportation services have played a key role in coronavirus transmission. Although not cro…

cs.DC2020★ 44 cited

Speculative Container Scheduling for Deep Learning Applications in a Kubernetes Cluster

Ying Mao, Yuqi Fu, Wenjia Zheng +3

In the past decade, we have witnessed a dramatically increasing volume of data collected from varied sources. The explosion of data has transformed the world as more information is…

cs.DC2020

Resource Management Schemes for Cloud-Native Platforms with Computing Containers of Docker and Kubernetes

Ying Mao, Yuqi Fu, Suwen Gu +3

Businesses have made increasing adoption and incorporation of cloud technology into internal processes in the last decade. The cloud-based deployment provides on-demand availabilit…

cs.CR2020★ 52 cited

Deep Learning-Based Anomaly Detection in Cyber-Physical Systems: Progress and Opportunities

Yuan Luo, Ya Xiao, Long Cheng +2

Anomaly detection is crucial to ensure the security of cyber-physical systems (CPS). However, due to the increasing complexity of CPSs and more sophisticated attacks, conventional…

cs.LO2020★ 8 cited

Rethinking Defeasible Reasoning: A Scalable Approach

Michael J. Maher, Ilias Tachmazidis, Grigoris Antoniou +2

Recent technological advances have led to unprecedented amounts of generated data that originate from the Web, sensor networks and social media. Analytics in terms of defeasible re…