A Machine Learning Approach for Anomaly Detection in Industrial Control Systems Based on Measurement Data

Utilizing an Analytical Hierarchy Process with Stochastic Return On Investment to Justify Connected Vehicle-Based Deployment Decisions

(2020) Mahmoud Arafat et al.   TRANSPORTATION RESEARCH RECORD

A Survey on Active Fault-Tolerant Control Systems

(2020) Alireza Abbaspour et al.   Electronics

An intrusion detection system for connected vehicles in smart cities

(2019) Moayad Aloqaily et al.   Ad Hoc Networks

VoltageIDS: Low-Level Communication Characteristics for Automotive Intrusion Detection System

(2018) Wonsuk Choi et al.   IEEE Transactions on Information Forensics and Security

A fog-based privacy-preserving approach for distributed signature-based intrusion detection

(2018) Yu Wang et al.   JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING

A Framework for Attack-Resilient Industrial Control Systems: Attack Detection and Controller Reconfiguration

(2018) Kaveh Paridari et al.   PROCEEDINGS OF THE IEEE

A feature reduced intrusion detection system using ANN classifier

(2017) Akashdeep et al.   EXPERT SYSTEMS WITH APPLICATIONS

A random forest guided tour

(2016) Gérard Biau et al.   TEST

Machine Learning Methods for Attack Detection in the Smart Grid

(2016) Mete Ozay et al.   IEEE Transactions on Neural Networks and Learning Systems

A random forest guided tour

(2016) Gérard Biau et al.   TEST

PETs: A Stable and Accurate Predictor of Protein-Protein Interacting Sites Based on Extremely-Randomized Trees

(2015) Bin Xia et al.   IEEE TRANSACTIONS ON NANOBIOSCIENCE

Developing a Hybrid Intrusion Detection System Using Data Mining for Power Systems

(2015) Shengyi Pan et al.   IEEE Transactions on Smart Grid

Control systems/SCADA forensics, what's the difference?

(2014) R.M. van der Knijff   Digital Investigation

A survey on feature selection methods

(2013) Girish Chandrashekar et al.   COMPUTERS & ELECTRICAL ENGINEERING