Revolutionizing Cyber Security: Exploring the Synergy of Machine Learning and Logical Reasoning for Cyber Threats and Mitigation-Reference-Cited by-同舟云学术

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

Published:2023-06-20 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE Computer Society Annual Symposium on VLSI (ISVLSI)
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Author:

Puthal Deepak¹,Mohanty Saraju P.²,Mishra Amit Kumar³,Yeun Chan Yeob¹,Damiani Ernesto¹

Affiliation:

1. Khalifa University,Center for C2PS and Department of EECS,Abu Dhabi,UAE

2. University of North Texas,Department of Computer Science and Engineering,Denton,Texas,USA

3. University of Cape Town,Department of Electrical Engineering,Cape Town,South Africa

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10238464/10238482/10238483.pdf?arnumber=10238483

Reference20 articles.

1. Abductive learning: towards bridging machine learning and logical reasoning

2. SE-Loc: Security-Enhanced Indoor Localization with Semi-Supervised Deep Learning

3. LICALITY – Likelihood and Criticality: Vulnerability Risk Prioritization Through Logical Reasoning and Deep Learning

4. Analogical reasoning and cyber security

5. Logigan: Learning logical reasoning via adversarial pre-training;pi;arXiv preprint arXiv 2205 08794,2022

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Hybrid Encryption Approach using DNA-Based Shift Protected Algorithm and AES for Edge-Cloud System Security;2023 OITS International Conference on Information Technology (OCIT);2023-12-13

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