SwePub - search: L773:9783319998428 OR L773:978...

Enumeration	Reference	Cover	Find
1.	Lin, Chih-Yuan, 1987-, et al. (author) Timing-Based Anomaly Detection in SCADA Networks 2018 In: Critical Information Infrastructures Security. - Cham : Springer. - 9783319998428 - 9783319998435 ; , s. 48-59 Conference paper (peer-reviewed)abstract Supervisory Control and Data Acquisition (SCADA) systems that operate our critical infrastructures are subject to increased cyber attacks. Due to the use of request-response communication in polling, SCADA traffic exhibits stable and predictable communication patterns. This paper provides a timing-based anomaly detection system that uses the statistical attributes of the communication patterns. This system is validated with three datasets, one generated from real devices and two from emulated networks, and is shown to have a False Positive Rate (FPR) under 1.4%. The tests are performed in the context of three different attack scenarios, which involve valid messages so they cannot be detected by whitelisting mechanisms. The detection accuracy and timing performance are adequate for all the attack scenarios in request-response communications. With other interaction patterns (i.e. spontaneous communications), we found instead that 2 out of 3 attacks are detected.

Lin, Chih-Yuan, 1987-, et al. (author)
Timing-Based Anomaly Detection in SCADA Networks
2018
In: Critical Information Infrastructures Security. - Cham : Springer. - 9783319998428 - 9783319998435 ; , s. 48-59
Conference paper (peer-reviewed)abstract
- Supervisory Control and Data Acquisition (SCADA) systems that operate our critical infrastructures are subject to increased cyber attacks. Due to the use of request-response communication in polling, SCADA traffic exhibits stable and predictable communication patterns. This paper provides a timing-based anomaly detection system that uses the statistical attributes of the communication patterns. This system is validated with three datasets, one generated from real devices and two from emulated networks, and is shown to have a False Positive Rate (FPR) under 1.4%. The tests are performed in the context of three different attack scenarios, which involve valid messages so they cannot be detected by whitelisting mechanisms. The detection accuracy and timing performance are adequate for all the attack scenarios in request-response communications. With other interaction patterns (i.e. spontaneous communications), we found instead that 2 out of 3 attacks are detected.

Träfflista för sökning "L773:9783319998428 OR L773:9783319998435 "