In this paper, we propose a new framework, called MADAFE, for accurate and efficient malicious account detection on social networks like Twitter. To overcome�...
Jan 9, 2017 � In this paper, we propose a new framework, called MADAFE, for accurate and efficient malicious account detection on social networks like Twitter�...
MADAFE: Malicious Account Detection on Twitter with Automated Feature Extraction ... detection schemes have used account features such as the ratio of tweets�...
Driven by these motivations, in this paper we propose SpADe, a multi-stage Spam Account Detection algorithm with reject option, whose purpose is to exploit less�...
Oct 23, 2019 � In this research, maximum accuracy has been reached at 95.55% in malicious vs genuine account detection using tf-idf features and XGBoost�...
MADAFE: Malicious Account Detection on Twitter with Automated Feature Extraction ... Malicious Account Detection on Twitter Based on Tweet Account Features�...
May 5, 2023 � MADAFE: Malicious Account Detection on Twitter with Automated Feature Extraction. Hao Yue, Lijie Zhou, Kaiping Xue, Hongning Li. 2019�...
... MADAFE: Malicious account detection on twitter with automated feature extraction. In: 2019 11th international conference on wireless communications and�...
Abstract—Microblogging social networks are easily subverted by automated fake identities that amass disproportionately large influence.
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Jul 2, 2024 � MADAFE: Malicious Account Detection on Twitter with Automated Feature Extraction ... Early filtering of ephemeral malicious accounts on Twitter.