Peng et al 2015a - Revision history

Scipediacontent at 18:04, 1 February 2021

2021-02-01T18:04:56Z

Scipediacontent at 15:13, 1 February 2021

2021-02-01T15:13:50Z

Scipediacontent at 13:36, 21 January 2021

2021-01-21T13:36:52Z

Scipediacontent: Scipediacontent moved page Draft Content 522503360 to Peng et al 2015a

2020-10-14T12:13:53Z

Scipediacontent moved page Draft Content 522503360 to Peng et al 2015a

Scipediacontent: Created page with " == Abstract == Part 2: CONTROL SYSTEMS SECURITY International audience Industrial control systems are cyber-physical systems that supervise and control physical processes..."

2020-10-14T12:13:50Z

Created page with " == Abstract == Part 2: CONTROL SYSTEMS SECURITY International audience Industrial control systems are cyber-physical systems that supervise and control physical processes..."

New page

== Abstract ==

Part 2: CONTROL SYSTEMS SECURITY International audience Industrial control systems are cyber-physical systems that supervise and control physical processes in critical infrastructures such as electric grids, water and wastewater treatment plants, oil and natural gas pipelines, transportation systems and chemical plants and refineries. Leveraging the stable and persistent control flow communications patterns in industrial control systems, this chapter proposes an innovative control system fingerprinting methodology that analyzes industrial control protocols to capture normal behavior characteristics. The methodology can be used to identify specific physical processes and control system components in industrial facilities and detect abnormal behavior. An experimental testbed that incorporates real systems for the cyber domain and simulated systems for the physical domain is used to validate the methodology. The experimental results demonstrate that the fingerprinting methodology holds promise for detecting anomalies in industrial control systems and cyber-physical systems used in the critical infrastructure.

Document type: Part of book or chapter of book

== Full document ==
<pdf>Media:Draft_Content_522503360-beopen491-6208-document.pdf</pdf>

== Original document ==

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

* [https://hal.inria.fr/hal-01431014/file/978-3-319-26567-4_5_Chapter.pdf https://hal.inria.fr/hal-01431014/file/978-3-319-26567-4_5_Chapter.pdf] under the license cc-by

← Older revision		Revision as of 18:04, 1 February 2021
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	== Full document ==		== Full document ==
−	<pdf>Media:Peng_et_al_2015a-beopen2054-~~9833~~-document.pdf</pdf>	+	<pdf>Media:Peng_et_al_2015a-beopen2054-6776-document.pdf</pdf>

← Older revision		Revision as of 15:13, 1 February 2021
Line 7:		Line 7:

	== Full document ==		== Full document ==
−	<pdf>Media:Peng_et_al_2015a-~~beopen474~~-~~2130~~-document.pdf</pdf>	+	<pdf>Media:Peng_et_al_2015a-beopen2054-9833-document.pdf</pdf>

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 == Abstract ==
-Part 2: CONTROL SYSTEMS SECURITY  International audience  Industrial control systems are cyber-physical systems that supervise and control physical processes in critical infrastructures such as electric grids, water and wastewater treatment plants, oil and natural gas pipelines, transportation systems and chemical plants and refineries. Leveraging the stable and persistent control flow communications patterns in industrial control systems, this chapter proposes an innovative control system fingerprinting methodology that analyzes industrial control protocols to capture normal behavior characteristics. The methodology can be used to identify specific physical processes and control system components in industrial facilities and detect abnormal behavior. An experimental testbed that incorporates real systems for the cyber domain and simulated systems for the physical domain is used to validate the methodology. The experimental results demonstrate that the fingerprinting methodology holds promise for detecting anomalies in industrial control systems and cyber-physical systems used in the critical infrastructure.
+Part 2: CONTROL SYSTEMS SECURITY; International audience; Industrial control systems are cyber-physical systems that supervise and control physical processes in critical infrastructures such as electric grids, water and wastewater treatment plants, oil and natural gas pipelines, transportation systems and chemical plants and refineries. Leveraging the stable and persistent control flow communications patterns in industrial control systems, this chapter proposes an innovative control system fingerprinting methodology that analyzes industrial control protocols to capture normal behavior characteristics. The methodology can be used to identify specific physical processes and control system components in industrial facilities and detect abnormal behavior. An experimental testbed that incorporates real systems for the cyber domain and simulated systems for the physical domain is used to validate the methodology. The experimental results demonstrate that the fingerprinting methodology holds promise for detecting anomalies in industrial control systems and cyber-physical systems used in the critical infrastructure.
 Document type: Part of book or chapter of book
 == Full document ==
-<pdf>Media:Draft_Content_522503360-beopen491-6208-document.pdf</pdf>
+<pdf>Media:Peng_et_al_2015a-beopen474-2130-document.pdf</pdf>
@@ Line 14: / Line 14: @@
 The different versions of the original document can be found in:
-* [https://hal.inria.fr/hal-01431014/file/978-3-319-26567-4_5_Chapter.pdf https://hal.inria.fr/hal-01431014/file/978-3-319-26567-4_5_Chapter.pdf] under the license cc-by
+* [https://hal.inria.fr/hal-01431014/file/978-3-319-26567-4_5_Chapter.pdf https://hal.inria.fr/hal-01431014/file/978-3-319-26567-4_5_Chapter.pdf] under the license https://creativecommons.org/licenses/by

← Older revision	Revision as of 12:13, 14 October 2020
(No difference)