Configurable Middleware-Level Intrusion Detection for Embedded Systems
ICDCSW '05 Proceedings of the Second International Workshop on Security in Distributed Computing Systems (SDCS) (ICDCSW'05) - Volume 02
Semi-automated discovery of application session structure
Proceedings of the 6th ACM SIGCOMM conference on Internet measurement
Intrusion Monitoring in Process Control Systems
HICSS '09 Proceedings of the 42nd Hawaii International Conference on System Sciences
Research challenges for the security of control systems
HOTSEC'08 Proceedings of the 3rd conference on Hot topics in security
Detecting intrusions in encrypted control traffic
Proceedings of the first ACM workshop on Smart energy grid security
Towards learning normality for anomaly detection in industrial control networks
AIMS'13 Proceedings of the 7th IFIP WG 6.6 international conference on Autonomous Infrastructure, Management, and Security: emerging management mechanisms for the future internet - Volume 7943
DIMVA'13 Proceedings of the 10th international conference on Detection of Intrusions and Malware, and Vulnerability Assessment
A survey of intrusion detection techniques for cyber-physical systems
ACM Computing Surveys (CSUR)
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Supervisory Control and Data Acquisition (SCADA) systems are a critical part of large industrial facilities, such as water distribution infrastructures. With the goal of reducing costs and increasing efficiency, these systems are becoming increasingly interconnected. However, this has also exposed them to a wide range of network security problems. Our research focus on the development of a novel flow-based intrusion detection system. Based on the assumption that SCADA networks are well-behaved, we believe that it is possible to model the normal traffic by establishing relations between network flows. To improve accuracy and provide more information on the anomalous traffic, we will also research methods to derive a flow-based model for anomalous flows.