Visual modeling of cyber deception

Cristiano de Faveri; Ana Moreira

doi:10.1109/VLHCC.2018.8506515

Visual modeling of cyber deception

Cristiano de Faveri, Ana Moreira

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

1 Citation (Scopus)

Abstract

Deception-based defense relies on deliberated actions to manipulate the attackers' perception of a system. It requires careful planning and application of multiple techniques to be effective. Therefore, deceptive strategies should be studied in isolation from the traditional security mechanisms. To support this goal, we develop DML, a visual language for deception modeling, offering three complementary views of deception: requirements model, deception tactics feature model, and deception strategy organizational. DML integrates goal-oriented requirements models and threat models to compose a comprehensive model considering the influences of developing deceptive mechanisms and the associated risks. The feasibility of DML is demonstrated via a tool prototype and a set of illustrative scenarios for a web system.

Original language	English
Title of host publication	Proceedings - 2018 IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2018
Editors	Caitlin Kelleher, Gregor Engels, Joao Paulo Fernandes, Jacome Cunha, Jorge Mendes
Publisher	IEEE Computer Society
Pages	205-209
Number of pages	5
ISBN (Electronic)	978-153864235-1
DOIs	https://doi.org/10.1109/VLHCC.2018.8506515
Publication status	Published - 23 Oct 2018
Event	2018 IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2018 - Lisbon, Portugal Duration: 1 Oct 2018 → 4 Oct 2018

Publication series

Name	Proceedings - IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)
Publisher	IEEE Computer Society
Volume	2018-October
ISSN (Print)	1943-6092

Conference

Conference	2018 IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2018
Country/Territory	Portugal
City	Lisbon
Period	1/10/18 → 4/10/18

Keywords

Network security
Intrusion detection
Computer crime

UN SDGs

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

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10.1109/VLHCC.2018.8506515Licence: Unspecified

Cite this

de Faveri, C., & Moreira, A. (2018). Visual modeling of cyber deception. In C. Kelleher, G. Engels, J. P. Fernandes, J. Cunha, & J. Mendes (Eds.), Proceedings - 2018 IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2018 (pp. 205-209). [8506515] (Proceedings - IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC); Vol. 2018-October). IEEE Computer Society. https://doi.org/10.1109/VLHCC.2018.8506515

de Faveri, Cristiano ; Moreira, Ana. / Visual modeling of cyber deception. Proceedings - 2018 IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2018. editor / Caitlin Kelleher ; Gregor Engels ; Joao Paulo Fernandes ; Jacome Cunha ; Jorge Mendes. IEEE Computer Society, 2018. pp. 205-209 (Proceedings - IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)).

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abstract = "Deception-based defense relies on deliberated actions to manipulate the attackers' perception of a system. It requires careful planning and application of multiple techniques to be effective. Therefore, deceptive strategies should be studied in isolation from the traditional security mechanisms. To support this goal, we develop DML, a visual language for deception modeling, offering three complementary views of deception: requirements model, deception tactics feature model, and deception strategy organizational. DML integrates goal-oriented requirements models and threat models to compose a comprehensive model considering the influences of developing deceptive mechanisms and the associated risks. The feasibility of DML is demonstrated via a tool prototype and a set of illustrative scenarios for a web system.",

keywords = "Network security, Intrusion detection, Computer crime",

author = "{de Faveri}, Cristiano and Ana Moreira",

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language = "English",

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pages = "205--209",

editor = "Caitlin Kelleher and Gregor Engels and Fernandes, {Joao Paulo} and Jacome Cunha and Jorge Mendes",

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de Faveri, C & Moreira, A 2018, Visual modeling of cyber deception. in C Kelleher, G Engels, JP Fernandes, J Cunha & J Mendes (eds), Proceedings - 2018 IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2018., 8506515, Proceedings - IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), vol. 2018-October, IEEE Computer Society, pp. 205-209, 2018 IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2018, Lisbon, Portugal, 1/10/18. https://doi.org/10.1109/VLHCC.2018.8506515

Visual modeling of cyber deception. / de Faveri, Cristiano ; Moreira, Ana.

Proceedings - 2018 IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2018. ed. / Caitlin Kelleher; Gregor Engels; Joao Paulo Fernandes; Jacome Cunha; Jorge Mendes. IEEE Computer Society, 2018. p. 205-209 8506515 (Proceedings - IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC); Vol. 2018-October).

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

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N1 - Sem PDF conforme despacho. info:eu-repo/grantAgreement/FCT/5876/147279/PT#

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AB - Deception-based defense relies on deliberated actions to manipulate the attackers' perception of a system. It requires careful planning and application of multiple techniques to be effective. Therefore, deceptive strategies should be studied in isolation from the traditional security mechanisms. To support this goal, we develop DML, a visual language for deception modeling, offering three complementary views of deception: requirements model, deception tactics feature model, and deception strategy organizational. DML integrates goal-oriented requirements models and threat models to compose a comprehensive model considering the influences of developing deceptive mechanisms and the associated risks. The feasibility of DML is demonstrated via a tool prototype and a set of illustrative scenarios for a web system.

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de Faveri C , Moreira A. Visual modeling of cyber deception. In Kelleher C, Engels G, Fernandes JP, Cunha J, Mendes J, editors, Proceedings - 2018 IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2018. IEEE Computer Society. 2018. p. 205-209. 8506515. (Proceedings - IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)). https://doi.org/10.1109/VLHCC.2018.8506515

Visual modeling of cyber deception

Abstract

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Conference

Keywords

UN SDGs

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