Phishbench
Webb6 apr. 2024 · This publication has not been reviewed yet. rating distribution. average user rating 0.0 out of 5.0 based on 0 reviews WebbPhishBench 2.0: A Versatile and Extendable Benchmarking Framework for Phishing. Proceedings of the ACM Conference on Computer and Communications Security 2024 Conference paper DOI: 10.1145/3372297.3420017 EID: 2-s2.0-85096159463. Part of ISSN: 15437221 Contributors ...
Phishbench
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WebbPhishBench allows researchers to evaluate and compare features and classification approaches easily and efficiently on the provided data. Show less Other authors WebbPhishBench 2.0: A Versatile and Extendable Benchmarking Framework for Phishing Victor Zeng (University of Houston); Xin Zhou (University of Houston); Shahryar Baki (University …
Webb27 jan. 2024 · PhishBench is a first in the field of benchmarking phishing related research and incorporates thorough and systematic evaluation and feature comparison. We use … WebbWe describe version 2.0 of our benchmarking framework, PhishBench. With the addition of the ability to dynamically load features, metrics, and classifiers, our new and improved …
WebbPhishBench 2.0: A Versatile and Extendable Benchmarking Framework for Phishing . Victor Zeng, Xin Zhou, Shahryar Baki, Rakesh M Verma. " PhishBench 2.0: A Versatile and Extendable Benchmarking Framework for Phishing. " Proceedings of the 2024 ACM SIGSAC Conference on Computer and Communications Security. WebbPhishBench 2.0.2. PhishBench is a extendable framework for benchmarking phishing detection systems. Using PhishBench, researchers can easily evaluate new features and classification approaches, comparing their effectiveness against existing methods from the literature. It offers evaluation metrics and methods suitable for imbalanced datasets ...
Webb5 juni 2012 · Next, we propose a benchmarking framework called ‘PhishBench,’ which enables us to evaluate and compare the existing features for phishing detection systematically and thoroughly under ...
Webb27 jan. 2024 · Next, we propose a benchmarking framework called ‘PhishBench,’ which enables us to evaluate and compare the existing features for phishing detection systematically and thoroughly under identical experimental conditions, i.e., unified system specification, datasets, classifiers, and evaluation metrics. ray\u0027s roofing brewton alray\u0027s roofing ashland kyWebbPhishBench. Overview; Downloads; Search; Builds; Versions; Recent Builds. Failed Pull Request version 334 (html) 1 week, 2 days ago Passed Pull Request version 333 (html) 4 … ray\u0027s roofing auburndale floridaWebbPhishBench 2.0: A Versatile and Extendable Benchmarking Framework for Phishing. Victor Zeng. University of Houston, Houston, TX, USA, Xin Zhou. University of Houston ... simply running systems gmbh \u0026 co. kg nottulnWebbphishbench.feature_extraction.url.extract_labeled_dataset(legit_dataset_folder, phish_dataset_folder, features=None) ¶. Extract features from a labeled dataset split by … simply runningWebbExtracts multiple features from a single url :param features: The features to extract :type features: List [FeatureClass] :param url: The url to extract the features from :type url: URLData. Returns. feature_values ( Dict) – The extracted feature values. extraction_times ( Dict) – The time it took to extract each feature. simply rugs directWebba > Dale-Chall score Flesch. Fog score -- 8.792845207768375 and grade level commonly used 3000 English words scales are exponential and represent the of... ray\u0027s roofing chicago