@inproceedings{f6db87e8b7494270806aac26280b6f1a,
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",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 26th IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2023 ; Conference date: 20-06-2023 Through 23-06-2023",
year = "2023",
month = sep,
day = "6",
doi = "10.1109/ISVLSI59464.2023.10238483",
language = "English",
series = "Proceedings of IEEE Computer Society Annual Symposium on VLSI, ISVLSI",
publisher = "IEEE Press",
editor = "Fernanda Kastensmidt and Ricardo Reis and Aida Todri-Sanial and Hai Li and Carolina Metzler",
booktitle = "2023 IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2023 - Proceedings",
address = "United States of America",
}