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A Network Security Game Model

Authors:

Vivek Shandilya,

Sajjan ShivaAuthors Info & Claims

CODASPY '15: Proceedings of the 5th ACM Conference on Data and Application Security and Privacy

Pages 159 - 161

https://doi.org/10.1145/2699026.2699133

Published: 02 March 2015 Publication History

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Abstract

There have been attempts to model the interaction between users, both malicious and benign, and network administrators as games. Building on such works, we here present a game model which is generic enough to capture various modes of such interactions. The model facilitates stochastic games with imperfect information. The imperfect information is due to erroneous sensors leading to incorrect perception of the current state by the players. To model this error in perception distributed over other multiple states, we use Euclidean distances between inputs from the sensors.

References

[1]

Lye, K. and Wing, J. 2005. Game Strategies in network security. International Journal of Information Security, vol. 4, no 1, pp. 71--86.

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[2]

Roy, S., Ellis, C., Shiva, S., Dasgupta, D., Shandilya V. and Wu. Q. . . 2010. A survey of game theory as applied to network security. The 43rd Hawaii International Conference on system Sciences.

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[3]

Shiva, S., Roy, S., Bedi, H., Dasgupta, D., and Wu. Q. 2010. A stochastic game with imperfect information for cyber security. The 5th International conference on i-warfare & security (ICIW), Dayton, Ohio.

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[4]

Simmons, C., Shiva, S., Bedi, H., and Shandilya. V. 2013. ADAPT: A game inspired attack-defense and performance metric taxonomy. Security and Privacy protection in Information Processing Systems, pp. 344--364. Springer Berlin Heidelberg.

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[5]

Simmons, C., Shiva, S., Phan, V., Shandilya, V. and Simmons, L. 2012. IRS: An issue resolution system for cyber-attack classification and management. SAM, Los Vegas, July.

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Colvett CPetty MBland JMaxwell KRosenhoover MOgden CGamess E(2022)Impact of the computer system user when creating cyber defense strategiesProceedings of the 2022 ACM Southeast Conference10.1145/3476883.3520208(74-81)Online publication date: 18-Apr-2022
https://dl.acm.org/doi/10.1145/3476883.3520208
Singh MBorkotokey SLahcen RMohapatra R(2022)A generic scheme for cyber security in resource constraint network using incomplete information gameEvolutionary Intelligence10.1007/s12065-021-00684-w16:3(819-832)Online publication date: 17-Jun-2022
https://doi.org/10.1007/s12065-021-00684-w
Liu JWeng FZhang RGuo Y(2018)Network Security Situation Assessment Approach Based on Attack-Defense Stochastic Game ModelCloud Computing and Security10.1007/978-3-030-00012-7_15(161-173)Online publication date: 13-Sep-2018
https://doi.org/10.1007/978-3-030-00012-7_15

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A Network Security Game Model
1. Mathematics of computing

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Published In

CODASPY '15: Proceedings of the 5th ACM Conference on Data and Application Security and Privacy

March 2015

362 pages

ISBN:9781450331913

DOI:10.1145/2699026

General Chair:
Jaehong Park
University of Texas at San Antonio, USA
,
Program Chair:
Anna Squicciarini
The Pennsylvania State University, USA

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

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Published: 02 March 2015

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SIGSAC

CODASPY'15: Fifth ACM Conference on Data and Application Security and Privacy

March 2 - 4, 2015

Texas, San Antonio, USA

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CODASPY '15 Paper Acceptance Rate 19 of 91 submissions, 21%;

Overall Acceptance Rate 149 of 789 submissions, 19%

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Colvett CPetty MBland JMaxwell KRosenhoover MOgden CGamess E(2022)Impact of the computer system user when creating cyber defense strategiesProceedings of the 2022 ACM Southeast Conference10.1145/3476883.3520208(74-81)Online publication date: 18-Apr-2022
https://dl.acm.org/doi/10.1145/3476883.3520208
Singh MBorkotokey SLahcen RMohapatra R(2022)A generic scheme for cyber security in resource constraint network using incomplete information gameEvolutionary Intelligence10.1007/s12065-021-00684-w16:3(819-832)Online publication date: 17-Jun-2022
https://doi.org/10.1007/s12065-021-00684-w
Liu JWeng FZhang RGuo Y(2018)Network Security Situation Assessment Approach Based on Attack-Defense Stochastic Game ModelCloud Computing and Security10.1007/978-3-030-00012-7_15(161-173)Online publication date: 13-Sep-2018
https://doi.org/10.1007/978-3-030-00012-7_15

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Patrolling security games: Definition and algorithms for solving large instances with single patroller and single intruder

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Three elemental game progress patterns

Patrolling security games: Definition and algorithms for solving large instances with single patroller and single intruder

MASAGE: Model-Agnostic Sequential and Adaptive Game Estimation

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