Related references
Note: Only part of the references are listed.Learning Latent Representation for IoT Anomaly Detection
Ly Vu et al.
IEEE TRANSACTIONS ON CYBERNETICS (2022)
Identify Significant Phenomenon-Specific Variables for Multivariate Time Series
Yifan Hao et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2021)
A Taxonomy of Supervised Learning for IDSs in SCADA Environments
Jakapan Suaboot et al.
ACM COMPUTING SURVEYS (2020)
Anomaly Detection for IoT Time-Series Data: A Survey
Andrew A. Cook et al.
IEEE INTERNET OF THINGS JOURNAL (2020)
A scalable specification-agnostic multi-sensor anomaly detection system for IIoT environments
Wissam Aoudi et al.
INTERNATIONAL JOURNAL OF CRITICAL INFRASTRUCTURE PROTECTION (2020)
TON_IoT Telemetry Dataset: A New Generation Dataset of IoT and IIoT for Data-Driven Intrusion Detection Systems
Abdullah Alsaedi et al.
IEEE ACCESS (2020)
A Dual-Isolation-Forests-Based Attack Detection Framework for Industrial Control Systems
Mariam Elnour et al.
IEEE ACCESS (2020)
Multivariate Abnormal Detection for Industrial Control Systems Using 1D CNN and GRU
Xin Xie et al.
IEEE ACCESS (2020)
A holistic review of Network Anomaly Detection Systems: A comprehensive survey
Nour Moustafa et al.
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS (2019)
Multilayer Data-Driven Cyber-Attack Detection System for Industrial Control Systems Based on Network, System, and Process Data
Fan Zhang et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2019)
Maximum Correntropy Criterion With Variable Center
Badong Chen et al.
IEEE SIGNAL PROCESSING LETTERS (2019)
Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network
Ya Su et al.
KDD'19: PROCEEDINGS OF THE 25TH ACM SIGKDD INTERNATIONAL CONFERENCCE ON KNOWLEDGE DISCOVERY AND DATA MINING (2019)
Detecting Anomalies in Space using Multivariate Convolutional LSTM with Mixtures of Probabilistic PCA
Shahroz Tariq et al.
KDD'19: PROCEEDINGS OF THE 25TH ACM SIGKDD INTERNATIONAL CONFERENCCE ON KNOWLEDGE DISCOVERY AND DATA MINING (2019)
Intrusion Detection Systems: A Cross-Domain Overview
Lionel N. Tidjon et al.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS (2019)
A systematic survey on multi-step attack detection
Julio Navarro et al.
COMPUTERS & SECURITY (2018)
Deep Abstraction and Weighted Feature Selection for Wi-Fi Impersonation Detection
Muhamad Erza Aminanto et al.
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY (2018)
A survey on security control and attack detection for industrial cyber-physical systems
Derui Ding et al.
NEUROCOMPUTING (2018)
IIoT Cybersecurity Risk Modeling for SCADA Systems
Gregory Falco et al.
IEEE INTERNET OF THINGS JOURNAL (2018)
A Survey of Physics-Based Attack Detection in Cyber-Physical Systems
Jairo Giraldo et al.
ACM COMPUTING SURVEYS (2018)
Truth Will Out: Departure-Based Process-Level Detection of Stealthy Attacks on Control Systems
Wissam Aoudi et al.
PROCEEDINGS OF THE 2018 ACM SIGSAC CONFERENCE ON COMPUTER AND COMMUNICATIONS SECURITY (CCS'18) (2018)
Learning from Mutants: Using Code Mutation to Learn and Monitor Invariants of a Cyber-Physical System
Yuqi Chen et al.
2018 IEEE SYMPOSIUM ON SECURITY AND PRIVACY (SP) (2018)
New Robust Metric Learning Model Using Maximum Correntropy Criterion
Jie Xu et al.
KDD'18: PROCEEDINGS OF THE 24TH ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY & DATA MINING (2018)
Ensuring Data Integrity of OPF Module and Energy Database by Detecting Changes in Power Flow Patterns in Smart Grids
Adnan Anwar et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2017)
Detection of false data injection attacks against state estimation in smart grids based on a mixture Gaussian distribution learning methodInspec keywordsOther keywords
S. Armina Foroutan et al.
IET CYBER-PHYSICAL SYSTEMS: THEORY & APPLICATIONS (2017)
Anomaly Detection in Cyber Physical Systems using Recurrent Neural Networks
Jonathan Goh et al.
2017 IEEE 18TH INTERNATIONAL SYMPOSIUM ON HIGH ASSURANCE SYSTEMS ENGINEERING (HASE 2017) (2017)
Design of experiments and focused grid search for neural network parameter optimization
F. J. Pontes et al.
NEUROCOMPUTING (2016)
An unsupervised anomaly-based detection approach for integrity attacks on SCADA systems
Abdulmohsen Almalawi et al.
COMPUTERS & SECURITY (2014)
Representation Learning: A Review and New Perspectives
Yoshua Bengio et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2013)
Control system design subject to SNR constraints
Eduardo I. Silva et al.
AUTOMATICA (2010)
Estimating the support of a high-dimensional distribution
B Schölkopf et al.
NEURAL COMPUTATION (2001)
Share Paper
