Multi-level anomaly detection in industrial control systems via package signatures and LSTM networks C Feng, T Li, D Chana
47th Annual IEEE/IFIP International Conference on Dependable Systems and …, 2017
266 2017 A Systematic Framework to Generate Invariants for Anomaly Detection in Industrial Control Systems C Feng, VR Palleti, A Mathur, D Chana
26th Annual Network and Distributed System Security Symposium (NDSS 2019), 2019
155 2019 Time Series Anomaly Detection for Cyber-physical Systems via Neural System Identification and Bayesian Filtering C Feng, P Tian
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
78 2021 PALOMA: A process algebra for located markovian agents C Feng, J Hillston
International Conference on Quantitative Evaluation of Systems, 265-280, 2014
59 2014 A deep learning-based framework for conducting stealthy attacks in industrial control systems C Feng, T Li, Z Zhu, D Chana
arXiv preprint arXiv:1709.06397, 2017
54 2017 Moment-based availability prediction for bike-sharing systems C Feng, J Hillston, D Reijsbergen
Performance Evaluation 117, 58-74, 2017
38 * 2017 A preliminary investigation of capturing spatial information for CAS V Galpin, L Bortolussi, V Ciancia, A Clark, R De Nicola, C Feng, S Gilmore, ...
QUANTICOL Deliverable D 2 (1), 110, 2014
26 * 2014 Automatic moment-closure approximation of spatially distributed collective adaptive systems C Feng, J Hillston, V Galpin
ACM Transactions on Modeling and Computer Simulation (TOMACS) 26 (4), 1-22, 2016
25 2016 Availability Modeling of Generalized X Wu, J Hillston, C Feng
IEEE Transactions on Systems, Man, and Cybernetics: Systems 47 (12), 3177-3188, 2016
21 2016 Scalable Approach to Enhancing ICS Resilience by Network Diversity T Li, C Feng, C Hankin
50th Annual IEEE/IFIP International Conference on Dependable Systems and …, 2020
13 * 2020 StackVAE-G: An efficient and interpretable model for time series anomaly detection W Li, W Hu, T Chen, N Chen, C Feng
AI Open 3, 101-110, 2022
12 2022 Patch-based hybrid modelling of spatially distributed systems by using stochastic HYPE-ZebraNet as an example C Feng
Proceedings of the 14th Workshop on Quantitative Aspects of Programming …, 2014
12 2014 Stacking VAE with graph neural networks for effective and interpretable time series anomaly detection W Li, W Hu, N Chen, C Feng
arXiv preprint arXiv:2105.08397, 2021
11 2021 Nonlinear Hawkes processes in time-varying system F Zhou, Q Kong, Y Zhang, C Feng, J Zhu
arXiv preprint arXiv:2106.04844, 2021
10 2021 Efficient inference for dynamic flexible interactions of neural populations F Zhou, Q Kong, Z Deng, J Kan, Y Zhang, C Feng, J Zhu
Journal of Machine Learning Research 23, 1-49, 2022
9 2022 RelSen: An Optimization-based Framework for Simultaneous Sensor Reliability Monitoring and Data Cleaning C Feng, X Liang, D Schneegass, PW Tian
Proceedings of the 29th ACM International Conference on Information and …, 2020
8 2020 Accelerating simulation of Population Continuous Time Markov Chains via automatic model reduction C Feng, J Hillston
Performance Evaluation 120, 20-35, 2018
8 * 2018 Modelling Opportunistic Netowrks with HYPE C Feng
University of Edinburgh, 2012
6 2012 General Time Transformer: an Encoder-only Foundation Model for Zero-Shot Multivariate Time Series Forecasting C Feng, L Huang, D Krompass
Proceedings of the 33rd ACM International Conference on Information and …, 2024
5 * 2024 Robust learning of deep time series anomaly detection models with contaminated training data W Li, C Feng, T Chen, J Zhu
arXiv preprint arXiv:2208.01841, 2022
5 2022 
Jane HillstonProfessor of Quantitative Modelling, University of EdinburghEmail verificata su ed.ac.uk
