Alajlouni Rao 2013a - Revision history

Scipediacontent at 16:24, 28 January 2021

2021-01-28T16:24:34Z

Scipediacontent at 12:04, 21 January 2021

2021-01-21T12:04:32Z

Scipediacontent: Scipediacontent moved page Draft Content 960657081 to Alajlouni Rao 2013a

2020-10-14T13:06:36Z

Scipediacontent moved page Draft Content 960657081 to Alajlouni Rao 2013a

Scipediacontent: Created page with " == Abstract == Part 3: Infrastructure Security International audience Historically, supervisory control and data acquisition (SCADA) systems have relied on obscurity to sa..."

2020-10-14T13:06:33Z

Created page with " == Abstract == Part 3: Infrastructure Security International audience Historically, supervisory control and data acquisition (SCADA) systems have relied on obscurity to sa..."

New page

== Abstract ==

Part 3: Infrastructure Security International audience Historically, supervisory control and data acquisition (SCADA) systems have relied on obscurity to safeguard against attacks. Indeed, external attackers lacked knowledge about proprietary system designs and software to access systems and execute attacks. The trend to interconnect to the Internet and incorporate standardized protocols, however, has resulted in an increase in the attack surface attackers can now target SCADA systems and proceed to impact the physical systems they control. Dynamical estimation can be used to identify anomalies and attempts to maliciously affect controlled physical systems. This paper describes an intrusion detection method based on the dynamical estimation of systems. A generic water pipeline system is modeled using state space equations, and a discrete-time Kalman filter is used to estimate operational characteristics for anomaly-based intrusion detection. The effectiveness of the method is evaluated against deception attacks that target the water pipeline system. A co-simulation that integrates computational fluid dynamics software and MATLAB/Simulink is employed to simulate attacks and develop detection schemes.

Document type: Part of book or chapter of book

== Full document ==
<pdf>Media:Draft_Content_960657081-beopen712-1022-document.pdf</pdf>

== Original document ==

The different versions of the original document can be found in:

* [https://link.springer.com/content/pdf/10.1007%2F978-3-642-45330-4_8.pdf https://link.springer.com/content/pdf/10.1007%2F978-3-642-45330-4_8.pdf]

@@ Line 2: / Line 2: @@
 == Abstract ==
-Part 3: Infrastructure Security; International audience; Historically, supervisory control and data acquisition (SCADA) systems have relied on obscurity to safeguard against attacks. Indeed, external attackers lacked knowledge about proprietary system designs and software to access systems and execute attacks. The trend to interconnect to the Internet and incorporate standardized protocols, however, has resulted in an increase in the attack surface â attackers can now target SCADA systems and proceed to impact the physical systems they control. Dynamical estimation can be used to identify anomalies and attempts to maliciously affect controlled physical systems. This paper describes an intrusion detection method based on the dynamical estimation of systems. A generic water pipeline system is modeled using state space equations, and a discrete-time Kalman filter is used to estimate operational characteristics for anomaly-based intrusion detection. The effectiveness of the method is evaluated against deception attacks that target the water pipeline system. A co-simulation that integrates computational fluid dynamics software and MATLAB/Simulink is employed to simulate attacks and develop detection schemes.
+Part 3: Infrastructure Security; International audience; Historically, supervisory control and data acquisition (SCADA) systems have relied on obscurity to safeguard against attacks. Indeed, external attackers lacked knowledge about proprietary system designs and software to access systems and execute attacks. The trend to interconnect to the Internet and incorporate standardized protocols, however, has resulted in an increase in the attack surface – attackers can now target SCADA systems and proceed to impact the physical systems they control. Dynamical estimation can be used to identify anomalies and attempts to maliciously affect controlled physical systems. This paper describes an intrusion detection method based on the dynamical estimation of systems. A generic water pipeline system is modeled using state space equations, and a discrete-time Kalman filter is used to estimate operational characteristics for anomaly-based intrusion detection. The effectiveness of the method is evaluated against deception attacks that target the water pipeline system. A co-simulation that integrates computational fluid dynamics software and MATLAB/Simulink is employed to simulate attacks and develop detection schemes.
 Document type: Part of book or chapter of book
 == Full document ==
-<pdf>Media:Alajlouni_Rao_2013a-beopen19-6872-document.pdf</pdf>
+<pdf>Media:Alajlouni_Rao_2013a-beopen90-8546-document.pdf</pdf>

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