Securing cloud-based military systems with Security Chaos Engineering and Artificial Intelligence

Martin Bedoya; Sara Palacios; Daniel Diaz-López; Pantaleone Nespoli; Estefania Laverde; Sebastián Suárez

doi:10.1145/3600160.3605076

Securing cloud-based military systems with Security Chaos Engineering and Artificial Intelligence

Martin Bedoya
, Sara Palacios
, Daniel Diaz-López
, Pantaleone Nespoli
, Estefania Laverde
, Sebastián Suárez

Research output: Chapter in Book/Inform › Conference contribution

4 Scopus citations

Abstract

Recently, system security represents a big challenge for many organizations, and it must be specifically handled when a system is intended to be deployed in a cloud environment. Cloud environments provide multiple security services that run over a Shared Responsibility Model that requires the participation of the cloud provider and the customer. Thus, this paper proposes an architecture based on Artificial Intelligence to support the finding of system threats and errors in an early stage and on Security Chaos Engineering methodology to reliably test the existence of such errors. This proposed architecture may help orientate better system designs and contribute to building holistic security. A particular use case is described to show how the proposal can be applied to a system that supports services for a military-related organization.

Original language	English (US)
Title of host publication	ARES 2023 - 18th International Conference on Availability, Reliability and Security, Proceedings
Publisher	Association for Computing Machinery
ISBN (Electronic)	9798400707728
DOIs	https://doi.org/10.1145/3600160.3605076
State	Published - Aug 29 2023
Event	18th International Conference on Availability, Reliability and Security, ARES 2023 - Benevento, Italy Duration: Aug 29 2023 → Sep 1 2023

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	18th International Conference on Availability, Reliability and Security, ARES 2023
Country/Territory	Italy
City	Benevento
Period	8/29/23 → 9/1/23

UN SDGs

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

SDG 1 No Poverty

All Science Journal Classification (ASJC) codes

Human-Computer Interaction
Computer Networks and Communications
Computer Vision and Pattern Recognition
Software

Access to Document

10.1145/3600160.3605076

Cite this

Bedoya, M., Palacios, S., Diaz-López, D., Nespoli, P., Laverde, E., & Suárez, S. (2023). Securing cloud-based military systems with Security Chaos Engineering and Artificial Intelligence. In ARES 2023 - 18th International Conference on Availability, Reliability and Security, Proceedings Article 38 (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3600160.3605076

@inproceedings{3b28850d1228473db5ce441adf3d29bb,

title = "Securing cloud-based military systems with Security Chaos Engineering and Artificial Intelligence",

abstract = "Recently, system security represents a big challenge for many organizations, and it must be specifically handled when a system is intended to be deployed in a cloud environment. Cloud environments provide multiple security services that run over a Shared Responsibility Model that requires the participation of the cloud provider and the customer. Thus, this paper proposes an architecture based on Artificial Intelligence to support the finding of system threats and errors in an early stage and on Security Chaos Engineering methodology to reliably test the existence of such errors. This proposed architecture may help orientate better system designs and contribute to building holistic security. A particular use case is described to show how the proposal can be applied to a system that supports services for a military-related organization.",

author = "Martin Bedoya and Sara Palacios and Daniel Diaz-L{\'o}pez and Pantaleone Nespoli and Estefania Laverde and Sebasti{\'a}n Su{\'a}rez",

note = "Funding Information: This work has been supported by Universidad del Rosario (Bogot{\'a}) through a {\textquotedblleft}Beca de Estancia de Docencia e Investigaci{\'o}n - EDI 2022-1{\textquotedblright}, and by the Spanish Ministry of Universities linked to the European Union through the NextGenerationEU program, under Margarita Salas postdoctoral fellowship (172/MSJD/22). Publisher Copyright: {\textcopyright} 2023 ACM.; 18th International Conference on Availability, Reliability and Security, ARES 2023 ; Conference date: 29-08-2023 Through 01-09-2023",

year = "2023",

month = aug,

day = "29",

doi = "10.1145/3600160.3605076",

language = "English (US)",

series = "ACM International Conference Proceeding Series",

publisher = "Association for Computing Machinery",

booktitle = "ARES 2023 - 18th International Conference on Availability, Reliability and Security, Proceedings",

address = "United States",

}

Bedoya, M, Palacios, S, Diaz-López, D, Nespoli, P, Laverde, E & Suárez, S 2023, Securing cloud-based military systems with Security Chaos Engineering and Artificial Intelligence. in ARES 2023 - 18th International Conference on Availability, Reliability and Security, Proceedings., 38, ACM International Conference Proceeding Series, Association for Computing Machinery, 18th International Conference on Availability, Reliability and Security, ARES 2023, Benevento, Italy, 8/29/23. https://doi.org/10.1145/3600160.3605076

Securing cloud-based military systems with Security Chaos Engineering and Artificial Intelligence. / Bedoya, Martin; Palacios, Sara; Diaz-López, Daniel et al.
ARES 2023 - 18th International Conference on Availability, Reliability and Security, Proceedings. Association for Computing Machinery, 2023. 38 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Inform › Conference contribution

TY - GEN

T1 - Securing cloud-based military systems with Security Chaos Engineering and Artificial Intelligence

AU - Bedoya, Martin

AU - Palacios, Sara

AU - Diaz-López, Daniel

AU - Nespoli, Pantaleone

AU - Laverde, Estefania

AU - Suárez, Sebastián

N1 - Funding Information: This work has been supported by Universidad del Rosario (Bogotá) through a “Beca de Estancia de Docencia e Investigación - EDI 2022-1”, and by the Spanish Ministry of Universities linked to the European Union through the NextGenerationEU program, under Margarita Salas postdoctoral fellowship (172/MSJD/22). Publisher Copyright: © 2023 ACM.

PY - 2023/8/29

Y1 - 2023/8/29

N2 - Recently, system security represents a big challenge for many organizations, and it must be specifically handled when a system is intended to be deployed in a cloud environment. Cloud environments provide multiple security services that run over a Shared Responsibility Model that requires the participation of the cloud provider and the customer. Thus, this paper proposes an architecture based on Artificial Intelligence to support the finding of system threats and errors in an early stage and on Security Chaos Engineering methodology to reliably test the existence of such errors. This proposed architecture may help orientate better system designs and contribute to building holistic security. A particular use case is described to show how the proposal can be applied to a system that supports services for a military-related organization.

AB - Recently, system security represents a big challenge for many organizations, and it must be specifically handled when a system is intended to be deployed in a cloud environment. Cloud environments provide multiple security services that run over a Shared Responsibility Model that requires the participation of the cloud provider and the customer. Thus, this paper proposes an architecture based on Artificial Intelligence to support the finding of system threats and errors in an early stage and on Security Chaos Engineering methodology to reliably test the existence of such errors. This proposed architecture may help orientate better system designs and contribute to building holistic security. A particular use case is described to show how the proposal can be applied to a system that supports services for a military-related organization.

UR - https://www.scopus.com/pages/publications/85169695890

UR - https://www.scopus.com/pages/publications/85169695890#tab=citedBy

U2 - 10.1145/3600160.3605076

DO - 10.1145/3600160.3605076

M3 - Conference contribution

AN - SCOPUS:85169695890

T3 - ACM International Conference Proceeding Series

BT - ARES 2023 - 18th International Conference on Availability, Reliability and Security, Proceedings

PB - Association for Computing Machinery

T2 - 18th International Conference on Availability, Reliability and Security, ARES 2023

Y2 - 29 August 2023 through 1 September 2023

ER -

Bedoya M, Palacios S, Diaz-López D, Nespoli P, Laverde E, Suárez S. Securing cloud-based military systems with Security Chaos Engineering and Artificial Intelligence. In ARES 2023 - 18th International Conference on Availability, Reliability and Security, Proceedings. Association for Computing Machinery. 2023. 38. (ACM International Conference Proceeding Series). doi: 10.1145/3600160.3605076

Securing cloud-based military systems with Security Chaos Engineering and Artificial Intelligence

Abstract

Publication series

Conference

UN SDGs

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this