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Authors: Abeer Alalmaie 1 ; 2 ; Nazar Waheed 1 ; 3 ; Mohrah Alalyan 3 ; Priyadarsi Nanda 1 ; Wenjing Jia 1 and Xiangjian He 4

Affiliations: 1 School of Electrical and Data Engineering, University of Technology Sydney, Sydney, Australia ; 2 College of Art and Science, King Khaled University, Rejal Almaa, Abha, Saudi Arabia ; 3 College of Art and Science, King Khaled University, Khamis Mushayt, Abha, Saudi Arabia ; 4 School of Computer Science University of Nottingham Ningbo, China

Keyword(s): Zero Trust, Network Intrusion Detection, Anonymization, Trust, Review.

Abstract: Organizations today are facing increasing cybersecurity challenges by moving more services to the cloud and outsourcing Intrusion Detection System (IDS) network monitoring tasks to third-party analysts. Zero Trust models may mitigate these challenges by employing the philosophy of “Never Trust, Always Verify.” However, specific anonymization approaches are required to ensure information integrity while preserving privacy. This paper reviews the existing approaches identified in the literature, compares them, and assesses the privacy-accuracy trade-offs. Plus, we have discussed future research directions and knowledge gaps.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Alalmaie, A.; Waheed, N.; Alalyan, M.; Nanda, P.; Jia, W. and He, X. (2024). Zero Trust for Intrusion Detection System: A Systematic Literature Review. In Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART; ISBN 978-989-758-680-4; ISSN 2184-433X, SciTePress, pages 170-177. DOI: 10.5220/0012312300003636

@conference{icaart24,
author={Abeer Alalmaie. and Nazar Waheed. and Mohrah Alalyan. and Priyadarsi Nanda. and Wenjing Jia. and Xiangjian He.},
title={Zero Trust for Intrusion Detection System: A Systematic Literature Review},
booktitle={Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART},
year={2024},
pages={170-177},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012312300003636},
isbn={978-989-758-680-4},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART
TI - Zero Trust for Intrusion Detection System: A Systematic Literature Review
SN - 978-989-758-680-4
IS - 2184-433X
AU - Alalmaie, A.
AU - Waheed, N.
AU - Alalyan, M.
AU - Nanda, P.
AU - Jia, W.
AU - He, X.
PY - 2024
SP - 170
EP - 177
DO - 10.5220/0012312300003636
PB - SciTePress

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