Adversarial Machine Learning Attacks on Multiclass Classification of IoT Network Traffic-Reference-Cited by-同舟云学术

Adversarial Machine Learning Attacks on Multiclass Classification of IoT Network Traffic

Published:2023-08-29 Issue: Volume: Page:
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Container-title:Proceedings of the 18th International Conference on Availability, Reliability and Security
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Author:

Pantelakis Vasileios¹^ORCID,Bountakas Panagiotis¹^ORCID,Farao Aristeidis²^ORCID,Xenakis Christos¹^ORCID

Affiliation:

1. University of Piraeus, Greece

2. University of Piraeus, Greece and European Doctoral School, European Security and Defence College, Belgium

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3600160.3605086

Reference26 articles.

1. Investigating Resistance of Deep Learning-based IDS against Adversaries using min-max Optimization

2. Eirini Anthi , Lowri Williams , Amir Javed , and Pete Burnap . 2021. Hardening machine learning denial of service (DoS) defences against adversarial attacks in IoT smart home networks. computers & security 108 ( 2021 ), 102352. Eirini Anthi, Lowri Williams, Amir Javed, and Pete Burnap. 2021. Hardening machine learning denial of service (DoS) defences against adversarial attacks in IoT smart home networks. computers & security 108 (2021), 102352.

3. Adversarial attacks on machine learning cybersecurity defences in Industrial Control Systems

4. Evaluating the effectiveness of Adversarial Attacks against Botnet Detectors

5. A Comparison of Natural Language Processing and Machine Learning Methods for Phishing Email Detection

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