MALURLS: A Lightweight Malicious Website Classification Based on URL Features

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Provided by: Academy Publisher
Topic: Security
Format: PDF
Surfing the World Wide Web (WWW) is becoming a dangerous everyday task with the web becoming rich in all sorts of attacks. Websites are a major source of many scams, phishing attacks, identity theft, spam commerce and malwares. However, browsers, blacklists and popup blockers are not enough to protect users. That requires fast and accurate systems with the ability to detect new malicious content. The authors propose a lightweight system to detect malicious websites online based on URL lexical and host features and call it MALURLs.
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