Timing-Based Anomaly Detection in SCADA Networks

Chih‐Yuan Lin; Simin Nadjm‐Tehrani; Mikael Asplund

doi:10.1007/978-3-319-99843-5_5

ScienceGate Book Chapters

BOOK-CHAPTER

Timing-Based Anomaly Detection in SCADA Networks

Chih‐Yuan Lin Simin Nadjm‐Tehrani Mikael Asplund

Year: 2018 Lecture notes in computer science Pages: 48-59 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-319-99843-5_5

Get Full-Text PDF Get Analytical Report

Keywords:

SCADA Polling Computer science Anomaly detection Real-time computing Context (archaeology) False positive rate Telecommunications network Communications system Computer network Data mining Artificial intelligence

Metrics

Cited By

10.18

FWCI (Field Weighted Citation Impact)

Refs

0.99

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Network Security and Intrusion Detection

Physical Sciences → Computer Science → Computer Networks and Communications

Smart Grid Security and Resilience

Physical Sciences → Engineering → Control and Systems Engineering

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Timing-Based Anomaly Detection in SCADA Networks

Metrics

Citation History

Topics

Related Documents

SCADA Networks Anomaly-based Intrusion Detection System

Autoencoder Based Anomaly Detection for SCADA Networks

Towards periodicity based anomaly detection in SCADA networks

A timing approach to network-based anomaly detection for SCADA systems

Unsupervised Time-Series based Anomaly Detection in ICS/SCADA Networks