Phishbench
WebbHome Conferences CCS Proceedings CCS '20 PhishBench 2.0: A Versatile and Extendable Benchmarking Framework for Phishing. abstract . Public Access. Share on ... 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 framework allows researchers to rapidly evaluate new features and methods for machine-learning based phishing detection.
Phishbench
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Webb" PhishBench 2.0: A Versatile and Extendable Benchmarking Framework for Phishing. " Proceedings of the 2024 ACM SIGSAC Conference on Computer and Communications … WebbPhishBench, our framework for benchmarking phishing detection Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for prot or commercial advantage and that copies bear this notice and the full citation on the rst page.
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 … WebbDiverse Datasets and a Customizable Benchmarking Framework for Phishing
WebbStay Updated. Blog; Sign up for our newsletter to get our latest blog updates delivered to your inbox weekly. WebbPhishBench allows researchers to evaluate and compare features and classification approaches easily and efficiently on the provided data. Show less Other authors
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
Webb23 jan. 2024 · Phishing is an online threat where an attacker impersonates an authentic and trustworthy organization to obtain sensitive information from a victim. One example of such is trolling, which has long been considered a problem. However, recent advances in phishing detection, such as machine learning-based methods, have assisted in … ipmitool mc getsysinfoWebbExtracts 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. orbbot s1Webb3 dec. 2024 · Also, they developed a new benchmarking framework named ‘PhishBench’. The ‘PhishBench’ had been utilizing to assess and contrast the current phishing features. Besides, they employed the PhishBench to examine the scalability and robustness of phishing methods published in previous literature. orbc14-72wd-sporbc market capWebbWe perform an in-depth, systematic benchmarking study and evaluation of phishing features on diverse and extensive datasets. We propose a new taxonomy of features … ipmitool invalid commandWebbWe 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 … orbc spring txWebb16 mars 2024 · PhishBench 2.0: A Versatile and Extendable Benchmarking Framework for Phishing. With the addition of the ability to dynamically load features, metrics, and classifiers, the new and improved framework allows researchers to rapidly evaluate new features and methods for machine-learning based phishing detection. ipmitool lan print 1