A DSL for specifying autonomic security management strategies

Ruan He; Marc Lacoste; Jacques Pulou; Jean Leneutre

doi:10.1007/978-3-642-19348-4_16

A DSL for specifying autonomic security management strategies

Ruan He
, Marc Lacoste
, Jacques Pulou
, Jean Leneutre

Orange Labs

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Existing self-protection frameworks so far hardly addressed the specification of autonomic security adaptation strategies which guide risk-aware selection or reconfiguration of security mechanisms. Domain-Specific Languages (DSL) present many benefits to achieve this goal in terms of simplicity, automated strategy verification, and run-time integration. This paper presents a DSL to describe security adaptation policies. The DSL is based on the condition-action approach and on a taxonomy of threats and applicable reactions. The DSL also allows to capture trade-offs between security and other concerns such as energy efficiency during the decision making phase. A translation mechanism to refine the DSL into a run-time representation, and integrate adaptation policies within legacy self-protection frameworks is also presented.

Original language	English
Title of host publication	Data Privacy Management and Autonomous Spontaneous Security - 5th International Workshop, DPM 2010 and 3rd International Workshop, SETOP 2010, Revised Selected Papers
Publisher	Springer Verlag
Pages	216-230
Number of pages	15
ISBN (Print)	9783642193477
DOIs	https://doi.org/10.1007/978-3-642-19348-4_16
Publication status	Published - 1 Jan 2011
Event	5th International Workshop on Data Privacy Management, DPM 2010 and 3rd International Workshop on Autonomous and Spontaneous Security, SETOP 2010 - Athens, Greece Duration: 23 Sept 2010 → …

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	6514 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	5th International Workshop on Data Privacy Management, DPM 2010 and 3rd International Workshop on Autonomous and Spontaneous Security, SETOP 2010
Country/Territory	Greece
City	Athens
Period	23/09/10 → …

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Access to Document

10.1007/978-3-642-19348-4_16

Cite this

He, R., Lacoste, M., Pulou, J., & Leneutre, J. (2011). A DSL for specifying autonomic security management strategies. In Data Privacy Management and Autonomous Spontaneous Security - 5th International Workshop, DPM 2010 and 3rd International Workshop, SETOP 2010, Revised Selected Papers (pp. 216-230). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6514 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-642-19348-4_16

He, Ruan ; Lacoste, Marc ; Pulou, Jacques et al. / A DSL for specifying autonomic security management strategies. Data Privacy Management and Autonomous Spontaneous Security - 5th International Workshop, DPM 2010 and 3rd International Workshop, SETOP 2010, Revised Selected Papers. Springer Verlag, 2011. pp. 216-230 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "A DSL for specifying autonomic security management strategies",

abstract = "Existing self-protection frameworks so far hardly addressed the specification of autonomic security adaptation strategies which guide risk-aware selection or reconfiguration of security mechanisms. Domain-Specific Languages (DSL) present many benefits to achieve this goal in terms of simplicity, automated strategy verification, and run-time integration. This paper presents a DSL to describe security adaptation policies. The DSL is based on the condition-action approach and on a taxonomy of threats and applicable reactions. The DSL also allows to capture trade-offs between security and other concerns such as energy efficiency during the decision making phase. A translation mechanism to refine the DSL into a run-time representation, and integrate adaptation policies within legacy self-protection frameworks is also presented.",

author = "Ruan He and Marc Lacoste and Jacques Pulou and Jean Leneutre",

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booktitle = "Data Privacy Management and Autonomous Spontaneous Security - 5th International Workshop, DPM 2010 and 3rd International Workshop, SETOP 2010, Revised Selected Papers",

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He, R, Lacoste, M, Pulou, J & Leneutre, J 2011, A DSL for specifying autonomic security management strategies. in Data Privacy Management and Autonomous Spontaneous Security - 5th International Workshop, DPM 2010 and 3rd International Workshop, SETOP 2010, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6514 LNCS, Springer Verlag, pp. 216-230, 5th International Workshop on Data Privacy Management, DPM 2010 and 3rd International Workshop on Autonomous and Spontaneous Security, SETOP 2010, Athens, Greece, 23/09/10. https://doi.org/10.1007/978-3-642-19348-4_16

A DSL for specifying autonomic security management strategies. / He, Ruan; Lacoste, Marc; Pulou, Jacques et al.
Data Privacy Management and Autonomous Spontaneous Security - 5th International Workshop, DPM 2010 and 3rd International Workshop, SETOP 2010, Revised Selected Papers. Springer Verlag, 2011. p. 216-230 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6514 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Lacoste, Marc

AU - Pulou, Jacques

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PY - 2011/1/1

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N2 - Existing self-protection frameworks so far hardly addressed the specification of autonomic security adaptation strategies which guide risk-aware selection or reconfiguration of security mechanisms. Domain-Specific Languages (DSL) present many benefits to achieve this goal in terms of simplicity, automated strategy verification, and run-time integration. This paper presents a DSL to describe security adaptation policies. The DSL is based on the condition-action approach and on a taxonomy of threats and applicable reactions. The DSL also allows to capture trade-offs between security and other concerns such as energy efficiency during the decision making phase. A translation mechanism to refine the DSL into a run-time representation, and integrate adaptation policies within legacy self-protection frameworks is also presented.

AB - Existing self-protection frameworks so far hardly addressed the specification of autonomic security adaptation strategies which guide risk-aware selection or reconfiguration of security mechanisms. Domain-Specific Languages (DSL) present many benefits to achieve this goal in terms of simplicity, automated strategy verification, and run-time integration. This paper presents a DSL to describe security adaptation policies. The DSL is based on the condition-action approach and on a taxonomy of threats and applicable reactions. The DSL also allows to capture trade-offs between security and other concerns such as energy efficiency during the decision making phase. A translation mechanism to refine the DSL into a run-time representation, and integrate adaptation policies within legacy self-protection frameworks is also presented.

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DO - 10.1007/978-3-642-19348-4_16

M3 - Conference contribution

AN - SCOPUS:79952253206

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BT - Data Privacy Management and Autonomous Spontaneous Security - 5th International Workshop, DPM 2010 and 3rd International Workshop, SETOP 2010, Revised Selected Papers

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He R, Lacoste M, Pulou J, Leneutre J. A DSL for specifying autonomic security management strategies. In Data Privacy Management and Autonomous Spontaneous Security - 5th International Workshop, DPM 2010 and 3rd International Workshop, SETOP 2010, Revised Selected Papers. Springer Verlag. 2011. p. 216-230. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-19348-4_16

A DSL for specifying autonomic security management strategies

Abstract

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UN SDGs

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