Revolutionizing Cyber Security: Exploring the Synergy of Machine Learning and Logical Reasoning for Cyber Threats and Mitigation

Deepak Puthal; Saraju P. Mohanty; Amit Kumar Mishra; Chan Yeob Yeun; Ernesto Damiani

doi:10.1109/ISVLSI59464.2023.10238483

Revolutionizing Cyber Security: Exploring the Synergy of Machine Learning and Logical Reasoning for Cyber Threats and Mitigation

Deepak Puthal, Saraju P. Mohanty, Amit Kumar Mishra, Chan Yeob Yeun, Ernesto Damiani

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

1 Scopus citations

Abstract

The integration of machine learning (ML) and logical reasoning (LR) in cyber security is an emerging field that shows great potential for improving the efficiency and effectiveness of security systems. While ML can detect anomalies and patterns in large amounts of data, LR can provide a higher-level understanding of threats and enable better decision-making. This paper explores the future of ML and LR in cyber security and highlights how the integration of these two approaches can lead to more robust security systems. We discuss several use cases that demonstrate the effectiveness of the integrated approach, such as threat detection and response, vulnerability assessment, and security policy enforcement. Finally, we identify several research directions that will help advance the field, including the development of more explainable ML models and the integration of human-in-the-loop approaches.

Original language	British English
Title of host publication	2023 IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2023 - Proceedings
Editors	Fernanda Kastensmidt, Ricardo Reis, Aida Todri-Sanial, Hai Li, Carolina Metzler
Publisher	IEEE Computer Society
ISBN (Electronic)	9798350327694
DOIs	https://doi.org/10.1109/ISVLSI59464.2023.10238483
State	Published - 2023
Event	26th IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2023 - Foz do Iguacu, Brazil Duration: 20 Jun 2023 → 23 Jun 2023

Publication series

Name	Proceedings of IEEE Computer Society Annual Symposium on VLSI, ISVLSI
Volume	2023-June
ISSN (Print)	2159-3469
ISSN (Electronic)	2159-3477

Conference

Conference	26th IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2023
Country/Territory	Brazil
City	Foz do Iguacu
Period	20/06/23 → 23/06/23

Keywords

cyber security
Logical Reasoning
Machine Learning
Synergy of ML and LR
Synergy of ML and LR for cyber security

Access to Document

10.1109/ISVLSI59464.2023.10238483

Cite this

Puthal, D., Mohanty, S. P., Mishra, A. K., Yeun, C. Y., & Damiani, E. (2023). Revolutionizing Cyber Security: Exploring the Synergy of Machine Learning and Logical Reasoning for Cyber Threats and Mitigation. In F. Kastensmidt, R. Reis, A. Todri-Sanial, H. Li, & C. Metzler (Eds.), 2023 IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2023 - Proceedings (Proceedings of IEEE Computer Society Annual Symposium on VLSI, ISVLSI; Vol. 2023-June). IEEE Computer Society. https://doi.org/10.1109/ISVLSI59464.2023.10238483

Puthal, Deepak ; Mohanty, Saraju P. ; Mishra, Amit Kumar et al. / Revolutionizing Cyber Security : Exploring the Synergy of Machine Learning and Logical Reasoning for Cyber Threats and Mitigation. 2023 IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2023 - Proceedings. editor / Fernanda Kastensmidt ; Ricardo Reis ; Aida Todri-Sanial ; Hai Li ; Carolina Metzler. IEEE Computer Society, 2023. (Proceedings of IEEE Computer Society Annual Symposium on VLSI, ISVLSI).

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title = "Revolutionizing Cyber Security: Exploring the Synergy of Machine Learning and Logical Reasoning for Cyber Threats and Mitigation",

abstract = "The integration of machine learning (ML) and logical reasoning (LR) in cyber security is an emerging field that shows great potential for improving the efficiency and effectiveness of security systems. While ML can detect anomalies and patterns in large amounts of data, LR can provide a higher-level understanding of threats and enable better decision-making. This paper explores the future of ML and LR in cyber security and highlights how the integration of these two approaches can lead to more robust security systems. We discuss several use cases that demonstrate the effectiveness of the integrated approach, such as threat detection and response, vulnerability assessment, and security policy enforcement. Finally, we identify several research directions that will help advance the field, including the development of more explainable ML models and the integration of human-in-the-loop approaches.",

keywords = "cyber security, Logical Reasoning, Machine Learning, Synergy of ML and LR, Synergy of ML and LR for cyber security",

author = "Deepak Puthal and Mohanty, {Saraju P.} and Mishra, {Amit Kumar} and Yeun, {Chan Yeob} and Ernesto Damiani",

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year = "2023",

doi = "10.1109/ISVLSI59464.2023.10238483",

language = "British English",

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Puthal, D, Mohanty, SP, Mishra, AK, Yeun, CY & Damiani, E 2023, Revolutionizing Cyber Security: Exploring the Synergy of Machine Learning and Logical Reasoning for Cyber Threats and Mitigation. in F Kastensmidt, R Reis, A Todri-Sanial, H Li & C Metzler (eds), 2023 IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2023 - Proceedings. Proceedings of IEEE Computer Society Annual Symposium on VLSI, ISVLSI, vol. 2023-June, IEEE Computer Society, 26th IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2023, Foz do Iguacu, Brazil, 20/06/23. https://doi.org/10.1109/ISVLSI59464.2023.10238483

Revolutionizing Cyber Security: Exploring the Synergy of Machine Learning and Logical Reasoning for Cyber Threats and Mitigation. / Puthal, Deepak; Mohanty, Saraju P.; Mishra, Amit Kumar et al.
2023 IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2023 - Proceedings. ed. / Fernanda Kastensmidt; Ricardo Reis; Aida Todri-Sanial; Hai Li; Carolina Metzler. IEEE Computer Society, 2023. (Proceedings of IEEE Computer Society Annual Symposium on VLSI, ISVLSI; Vol. 2023-June).

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

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Puthal D, Mohanty SP, Mishra AK, Yeun CY , Damiani E. Revolutionizing Cyber Security: Exploring the Synergy of Machine Learning and Logical Reasoning for Cyber Threats and Mitigation. In Kastensmidt F, Reis R, Todri-Sanial A, Li H, Metzler C, editors, 2023 IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2023 - Proceedings. IEEE Computer Society. 2023. (Proceedings of IEEE Computer Society Annual Symposium on VLSI, ISVLSI). doi: 10.1109/ISVLSI59464.2023.10238483

Revolutionizing Cyber Security: Exploring the Synergy of Machine Learning and Logical Reasoning for Cyber Threats and Mitigation

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Keywords

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