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Towards Performance of NLP Transformers on URL-Based Phishing Detection for Mobile Devices.

, , и . J. Ubiquitous Syst. Pervasive Networks, 17 (1): 35-42 (2022)

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Hamidreza Shirazi

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A novel multilayer AAA model for integrated applications., , и . Neural Comput. Appl., 29 (10): 887-901 (2018)Machine Learning-Based Phishing Detection Using URL Features: A Comprehensive Review., , и . SSS, том 14310 из Lecture Notes in Computer Science, стр. 481-497. Springer, (2023)Towards Resiliency of Heavy Vehicles through Compromised Sensor Data Reconstruction., , , и . CODASPY, стр. 276-287. ACM, (2022)On the Performance of Isolation Forest and Multi Layer Perceptron for Anomaly Detection in Industrial Control Systems Networks., , и . IOTSMS, стр. 1-6. IEEE, (2021)Improved Phishing Detection Algorithms using Adversarial Autoencoder Synthesized Data., , , и . LCN, стр. 24-32. IEEE, (2020)Adversarial Sampling Attacks Against Phishing Detection., , , и . DBSec, том 11559 из Lecture Notes in Computer Science, стр. 83-101. Springer, (2019)"Kn0w Thy Doma1n Name": Unbiased Phishing Detection Using Domain Name Based Features., , и . SACMAT, стр. 69-75. ACM, (2018)Software Security; A Vulnerability Activity Revisit., , , и . ARES, стр. 866-872. IEEE Computer Society, (2008)Cross-Silo Federated Learning Across Divergent Domains with Iterative Parameter Alignment., , и . IEEE Big Data, стр. 5233-5242. IEEE, (2023)A Machine-learning based Unbiased Phishing Detection Approach., , и . ICETE (2), стр. 423-430. ScitePress, (2020)