Spam and Phishing Detection
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Scope of this subject
This cluster of papers focuses on the detection and prevention of phishing attacks, including techniques such as spam detection, machine learning, bot detection, review spam analysis, URL filtering, and defense against Sybil attacks in social networks. The research also explores behavioral analysis for identifying suspicious activities and emphasizes the importance of security education in mitigating phishing threats.
OpenAlex generated this cluster description with an LLM. It describes research grouping, not verified findings.
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Research vocabulary
phishing detection; phishing; email security; spam filtering; spam detection; email spam detection; email classification; URL classification; email filtering; malicious URL detection; bot detection; phishing websites; phishing website detection; phishing email detection; fake review detection; phishing emails; fake reviews; SMS spam detection; spam classification; social bots; fake accounts; phishing prevention; URL features; spammer detection; phishing URL detection
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OpenAlex topic record · Works associated with this topic
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Local answer status
No owner-reviewed answer has been published for this exact subject page. This is a gap in this collection; it does not establish that the answer is unavailable elsewhere.
Numeric address and provenance
Morton address: 36183039105748051 · morton4x16-v1
Coordinates: (3, 17, 1710, 11644). The address interleaves categorical identifier bits. Nearby addresses are not guaranteed to describe semantically similar subjects.
Structured subject record · Markdown · Source snapshots and licenses
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