A Conceptual Antifragile Microservice Framework for Reshaping
Critical Infrastructures

D 2022

A Conceptual Antifragile Microservice Framework for Reshaping Critical Infrastructures

BANGUI, Hind; Bruno ROSSI a Barbora BÜHNOVÁ

Základní údaje

Originální název

A Conceptual Antifragile Microservice Framework for Reshaping Critical Infrastructures

Autoři

BANGUI, Hind; Bruno ROSSI a Barbora BÜHNOVÁ

Vydání

New York, USA, The 38th IEEE International Conference on Software Maintenance and Evolution, od s. 364-368, 5 s. 2022

Nakladatel

IEEE

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10200 1.2 Computer and information sciences

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

elektronická verze "online"

Odkazy

URL

Označené pro přenos do RIV

Ano

Kód RIV

RIV/00216224:14330/22:00126307

Organizační jednotka

Fakulta informatiky

ISBN

978-1-6654-7956-1

ISSN

Klíčová slova anglicky

Critical Infrastructures; Microservices; Antifragility;Machine Learning;Generative Adversarial Network

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 28. 3. 2023 11:42, RNDr. Pavel Šmerk, Ph.D.

Anotace

V originále

Recently, microservices have been examined as a solution for reshaping and improving the flexibility, scalability, and maintainability of critical infrastructure systems. However, microservice systems are also suffering from the presence of a substantial number of potentially vulnerable components that may threaten the protection of critical infrastructures. To address the problem, this paper proposes to leverage the concept of antifragility built in a framework for building self-learning microservice systems that could be strengthened by faults and threats instead of being deteriorated by them. To illustrate the approach, we instantiate the proposed approach of autonomous machine learning through an experimental evaluation on a benchmarking dataset of microservice faults.

Návaznosti

CZ.02.1.01/0.0/0.0/16_019/0000822, interní kód MU
(Kód CEP: EF16_019/0000822)

Název: Centrum excelence pro kyberkriminalitu, kyberbezpečnost a ochranu kritických informačních infrastruktur (Akronym: C4e)

Investor: Ministerstvo školství, mládeže a tělovýchovy ČR, Centrum excelence pro kyberkriminalitu, kyberbezpečnost a ochranu kritických informačních infrastruktur, PO 1 Posilování kapacit pro kvalitní výzkum

EF16_019/0000822, projekt VaV

Název: Centrum excelence pro kyberkriminalitu, kyberbezpečnost a ochranu kritických informačních infrastruktur

Citovat

BANGUI, Hind; Bruno ROSSI a Barbora BÜHNOVÁ. A Conceptual Antifragile Microservice Framework for Reshaping Critical Infrastructures. Online. In The 38th IEEE International Conference on Software Maintenance and Evolution. New York, USA: IEEE, 2022, s. 364-368. ISBN 978-1-6654-7956-1. Dostupné z: https://doi.org/10.1109/ICSME55016.2022.00040.

@inproceedings{1875897,
   author = {Bangui, Hind and Rossi, Bruno and Bühnová, Barbora},
   address = {New York, USA},
   booktitle = {The 38th IEEE International Conference on Software Maintenance and Evolution},
   doi = {https://doi.org/10.1109/ICSME55016.2022.00040},
   keywords = {Critical Infrastructures; Microservices; Antifragility;Machine Learning;Generative Adversarial Network},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {New York, USA},
   isbn = {978-1-6654-7956-1},
   pages = {364-368},
   publisher = {IEEE},
   title = {A Conceptual Antifragile Microservice Framework for Reshaping Critical Infrastructures},
   url = {https://ieeexplore.ieee.org/abstract/document/9977445},
   year = {2022}
}

TY  - CONF
ID  - 1875897
AU  - Bangui, Hind - Rossi, Bruno - Bühnová, Barbora
PY  - 2022
TI  - A Conceptual Antifragile Microservice Framework for Reshaping Critical Infrastructures
PB  - IEEE
CY  - New York, USA
SN  - 9781665479561
KW  - Critical Infrastructures
KW  - Microservices
KW  - Antifragility;Machine Learning;Generative Adversarial Network
UR  - https://ieeexplore.ieee.org/abstract/document/9977445
N2  - Recently, microservices have been examined as a solution for reshaping and improving the flexibility, scalability, and maintainability of critical infrastructure systems. However, microservice systems are also suffering from the presence of a substantial number of potentially vulnerable components that may threaten the protection of critical infrastructures. To address the problem, this paper proposes to leverage the concept of antifragility built in a framework for building self-learning microservice systems that could be strengthened by faults and threats instead of being deteriorated by them. To illustrate the approach, we instantiate the proposed approach of autonomous machine learning through an experimental evaluation on a benchmarking dataset of microservice faults.
ER  -

BANGUI, Hind; Bruno ROSSI a Barbora BÜHNOVÁ. A Conceptual Antifragile Microservice Framework for Reshaping Critical Infrastructures. Online. In \textit{The 38th IEEE International Conference on Software Maintenance and Evolution}. New York, USA: IEEE, 2022, s.~364-368. ISBN~978-1-6654-7956-1. Dostupné z: https://doi.org/10.1109/ICSME55016.2022.00040.

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