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  "access_rights": "",
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  "access_rights": "",
            
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  "author": "Ripon Patgiri",
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  "author": "Ripon Patgiri",
            
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  "author_email": "",
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  "author_email": "",
            
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  "citation": [],
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  "citation": [],
            
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  "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
            
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  "defined_in": "https://doi.org/10.48550/arXiv.2103.12544",
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  "defined_in": "https://doi.org/10.48550/arXiv.2103.12544",
            
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  "doi": "10.57702/c99l5qwj",
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  "doi": "10.57702/c99l5qwj",
            
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  "doi_date_published": null,
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  "doi_date_published": "2024-12-16",
            
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  "doi_publisher": "TIB",
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  "doi_publisher": "TIB",
            
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  "extra_authors": [
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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "Anupam Biswas",
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      "extra_author": "Anupam Biswas",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Sabuzima Nayak",
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      "extra_author": "Sabuzima Nayak",
            
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      "orcid": ""
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      "orcid": ""
            
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    }
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    }
            
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  ],
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    {
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    {
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Bloom Filter",
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      "display_name": "Bloom Filter",
            
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      "image_display_url": "",
            
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      "name": "bloom-filter",
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      "name": "bloom-filter",
            
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      "title": "Bloom Filter"
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      "title": "Bloom Filter"
            
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    },
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    },
            
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    {
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    {
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Deep Learning",
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      "display_name": "Deep Learning",
            
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      "name": "deep-learning",
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      "name": "deep-learning",
            
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      "title": "Deep Learning"
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      "title": "Deep Learning"
            
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    {
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    {
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Malicious URL Detection",
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      "display_name": "Malicious URL Detection",
            
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      "name": "malicious-url-detection",
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      "name": "malicious-url-detection",
            
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      "title": "Malicious URL Detection"
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      "title": "Malicious URL Detection"
            
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    }
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    }
            
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  ],
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  ],
            
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  "license_title": null,
            
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  "link_orkg": "",
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  "link_orkg": "",
            
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  "metadata_created": "2024-12-16T20:38:59.215435",
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  "metadata_created": "2024-12-16T20:38:59.215435",
            
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  "metadata_modified": "2024-12-16T20:38:59.627912",
            
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  "name": 
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  "name": 
            
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tion-using-self-adjusted-bloom-filter-and-evolutionary-deep-learning",
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tion-using-self-adjusted-bloom-filter-and-evolutionary-deep-learning",
            
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  "notes": "Malicious URL detection is an emerging research area due 
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  "notes": "Malicious URL detection is an emerging research area due 
            
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to continuous modernization of various systems, for instance, Edge 
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to continuous modernization of various systems, for instance, Edge 
            
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Computing. In this article, we present a novel malicious URL detection 
60
Computing. In this article, we present a novel malicious URL detection 
            
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technique, called deepBF (deep learning and Bloom Filter). deepBF is 
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technique, called deepBF (deep learning and Bloom Filter). deepBF is 
            
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presented in two-fold. Firstly, we propose a self-adjusted Bloom 
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presented in two-fold. Firstly, we propose a self-adjusted Bloom 
            
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Filter using 2-dimensional Bloom Filter. We experimentally decide the 
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Filter using 2-dimensional Bloom Filter. We experimentally decide the 
            
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best non-cryptography string hash function. Then, we derive a modified 
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best non-cryptography string hash function. Then, we derive a modified 
            
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non-cryptography string hash function from the selected hash function 
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non-cryptography string hash function from the selected hash function 
            
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for deepBF by introducing biases in the hashing method and compared 
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for deepBF by introducing biases in the hashing method and compared 
            
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among the string hash functions.",
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among the string hash functions.",
            
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    "created": "2024-11-25T12:11:38.292601",
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      "created": "2024-12-16T18:25:46",
            
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      "data": [
            
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      "description": "The json representation of the dataset with its 
            
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distributions based on DCAT.",
            
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      "format": "JSON",
            
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      "hash": "",
            
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      "id": "de3055af-ecd1-46ab-b00f-fcb5468833e9",
            
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  "state": "active",
            
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  "tags": [
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  "tags": [
            
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    {
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    {
            
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      "display_name": "Bloom Filter",
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      "display_name": "Bloom Filter",
            
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      "id": "08de7cd1-b153-407f-bebd-448081de544b",
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      "id": "08de7cd1-b153-407f-bebd-448081de544b",
            
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      "name": "Bloom Filter",
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      "name": "Bloom Filter",
            
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      "state": "active",
            
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    {
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      "display_name": "Deep Learning",
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      "display_name": "Deep Learning",
            
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      "id": "3feb7b21-e049-4dca-9372-0d438c483f6a",
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      "id": "3feb7b21-e049-4dca-9372-0d438c483f6a",
            
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      "name": "Deep Learning",
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      "name": "Deep Learning",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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      "vocabulary_id": null
            
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    },
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    },
            
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    {
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    {
            
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      "display_name": "Malicious URL Detection",
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      "display_name": "Malicious URL Detection",
            
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      "id": "7fae8830-2d76-411c-b48f-e1af72a5aeea",
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      "id": "7fae8830-2d76-411c-b48f-e1af72a5aeea",
            
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      "name": "Malicious URL Detection",
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      "name": "Malicious URL Detection",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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      "vocabulary_id": null
            
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    }
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    }
            
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  ],
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  ],
            
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  "title": "deepBF: Malicious URL detection using Self-adjusted Bloom 
153
  "title": "deepBF: Malicious URL detection using Self-adjusted Bloom 
            
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Filter and Evolutionary Deep Learning",
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Filter and Evolutionary Deep Learning",
            
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  "type": "dataset",
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  "type": "dataset",
            
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  "version": ""
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  "version": ""
            
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}
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}