Artificial Intelligence for next generation cybersecurity: The AI4CYBER framework

Eider Iturbe; Erkuden Rios; Angel Rego; Nerea Toledo

doi:10.1145/3600160.3605051

Artificial Intelligence for next generation cybersecurity: The AI4CYBER framework

CIBERSEC and DLT

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

15 Citations (Scopus)

Abstract

Artificial Intelligence (AI) is playing a crucial role both in the technological advances and emerging advanced threats in cybersecurity. Despite efforts by competent authorities in Europe to regulate the use of AI in a way that aligns with the ethics and individuals' fundamental rights, there are still challenges to be tackled, not to mention the malicious use of AI by cybercriminals. In this paper we present a novel framework that is composed of innovative cybersecurity services that leverage AI to provide support in the management of the incident response and recovery lifecycle of the critical entities' systems against advanced attacks. The paper describes the main components and architecture of the AI4CYBER framework and provides a clear understanding of the application of the autonomous intelligent cybersecurity services and their role in enforcing defensive actions throughout the entire lifecycle of the systems.

Original language	English
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/10.1145/3600160.3605051
Publication status	Published - 29 Aug 2023
Event	18th International Conference on Availability, Reliability and Security, ARES 2023 - Benevento, Italy Duration: 29 Aug 2023 → 1 Sept 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	29/08/23 → 1/09/23

UN SDGs

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

SDG 16 Peace, Justice and Strong Institutions

Keywords

adversarial attack
adversarial machine learning
artificial intelligence
critical infrastructure
cyber threat intelligence
cybersecurity
incident response
intrusion detection

Access to Document

10.1145/3600160.3605051

Cite this

Iturbe, E., Rios, E., Rego, A., & Toledo, N. (2023). Artificial Intelligence for next generation cybersecurity: The AI4CYBER framework. In ARES 2023 - 18th International Conference on Availability, Reliability and Security, Proceedings Article 133 (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3600160.3605051

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abstract = "Artificial Intelligence (AI) is playing a crucial role both in the technological advances and emerging advanced threats in cybersecurity. Despite efforts by competent authorities in Europe to regulate the use of AI in a way that aligns with the ethics and individuals' fundamental rights, there are still challenges to be tackled, not to mention the malicious use of AI by cybercriminals. In this paper we present a novel framework that is composed of innovative cybersecurity services that leverage AI to provide support in the management of the incident response and recovery lifecycle of the critical entities' systems against advanced attacks. The paper describes the main components and architecture of the AI4CYBER framework and provides a clear understanding of the application of the autonomous intelligent cybersecurity services and their role in enforcing defensive actions throughout the entire lifecycle of the systems.",

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author = "Eider Iturbe and Erkuden Rios and Angel Rego and Nerea Toledo",

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Iturbe, E , Rios, E , Rego, A & Toledo, N 2023, Artificial Intelligence for next generation cybersecurity: The AI4CYBER framework. in ARES 2023 - 18th International Conference on Availability, Reliability and Security, Proceedings., 133, ACM International Conference Proceeding Series, Association for Computing Machinery, 18th International Conference on Availability, Reliability and Security, ARES 2023, Benevento, Italy, 29/08/23. https://doi.org/10.1145/3600160.3605051

Artificial Intelligence for next generation cybersecurity: The AI4CYBER framework. / Iturbe, Eider ; Rios, Erkuden ; Rego, Angel et al.
ARES 2023 - 18th International Conference on Availability, Reliability and Security, Proceedings. Association for Computing Machinery, 2023. 133 (ACM International Conference Proceeding Series).

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

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

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AU - Rego, Angel

AU - Toledo, Nerea

PY - 2023/8/29

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AB - Artificial Intelligence (AI) is playing a crucial role both in the technological advances and emerging advanced threats in cybersecurity. Despite efforts by competent authorities in Europe to regulate the use of AI in a way that aligns with the ethics and individuals' fundamental rights, there are still challenges to be tackled, not to mention the malicious use of AI by cybercriminals. In this paper we present a novel framework that is composed of innovative cybersecurity services that leverage AI to provide support in the management of the incident response and recovery lifecycle of the critical entities' systems against advanced attacks. The paper describes the main components and architecture of the AI4CYBER framework and provides a clear understanding of the application of the autonomous intelligent cybersecurity services and their role in enforcing defensive actions throughout the entire lifecycle of the systems.

KW - adversarial attack

KW - adversarial machine learning

KW - artificial intelligence

KW - critical infrastructure

KW - cyber threat intelligence

KW - cybersecurity

KW - incident response

KW - intrusion detection

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M3 - Conference contribution

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ER -

Artificial Intelligence for next generation cybersecurity: The AI4CYBER framework

Abstract

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Conference

UN SDGs

Keywords

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