Adversarial Machine Learning Attacks on Multiclass Classification of IoT Network Traffic
Author:
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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