MALT: Parallel Prediction of Malicious Tweets.
IEEE Transactions on Computational Social Systems(2018)
摘要
It has been reported that embedded URLs and multimodal content (images, video, and sound recordings) in tweets are increasingly used to seduce users into a “wrong click,” leading to malware infection. In this paper, we predict whether a tweet is malicious or not by examining five classes of features: textual content including sentiment, paths emanating from a URL mentioned in the tweet, attributes...
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关键词
Security,Twitter,Feature extraction,Malware,Phishing,Machine learning,Predictive models,Uniform resource locators
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