deepBF: Malicious URL detection using learned bloom filter and evolutionary deep learning

R Patgiri, A Biswas, S Nayak - Computer Communications, 2023 - Elsevier
Malicious URL detection is an emerging research area due to the continuous modernization
of various systems, for instance, Edge Computing. This article presents a novel malicious …

[PDF][PDF] deepBF: Malicious URL detection using Learned Bloom Filter and Evolutionary Deep Learning

R Patgiri, A Biswas, S Nayak - academia.edu
Malicious URL detection is an emerging research area due to continuous modernization of
various systems, for instance, Edge Computing. In this article, we present a novel malicious …

deepBF:: Malicious URL detection using learned Bloom Filter and evolutionary deep learning

R Patgiri, A Biswas, S Nayak - 2023 - dl.acm.org
Malicious URL detection is an emerging research area due to the continuous modernization
of various systems, for instance, Edge Computing. This article presents a novel malicious …

DeepBF: Malicious URL detection using Learned Bloom Filter and Evolutionary Deep Learning

R Patgiri, A Biswas, S Nayak - arXiv preprint arXiv:2103.12544, 2021 - arxiv.org
Malicious URL detection is an emerging research area due to continuous modernization of
various systems, for instance, Edge Computing. In this article, we present a novel malicious …

DeepBF: Malicious URL detection using Learned Bloom Filter and Evolutionary Deep Learning

R Patgiri, A Biswas, S Nayak - arXiv e-prints, 2021 - ui.adsabs.harvard.edu
Malicious URL detection is an emerging research area due to continuous modernization of
various systems, for instance, Edge Computing. In this article, we present a novel malicious …

[PDF][PDF] deepBF: Malicious URL detection using Learned Bloom Filter and Evolutionary Deep Learning

R Patgiri, A Biswas, S Nayak - academia.edu
Malicious URL detection is an emerging research area due to continuous modernization of
various systems, for instance, Edge Computing. In this article, we present a novel malicious …