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Holmes: An Efficient and Lightweight Semantic Based Anomalous Email Detector. (arXiv:2104.08044v11 [cs.CR] UPDATED)
April 22, 2022, 1:20 a.m. | Peilun Wu, Fan Yan, Hui Guo
cs.CR updates on arXiv.org arxiv.org
Email threat is a serious issue for enterprise security, which consists of
various malicious scenarios, such as phishing, fraud, blackmail and
malvertisement. Traditional anti-spam gateway commonly requires to maintain a
greylist to filter out unexpected emails based on suspicious vocabularies
existed in the mail subject and content. However, the signature-based approach
cannot effectively discover novel and unknown suspicious emails that utilize
various hot topics at present, such as COVID-19 and US election. To address the
problem, in this paper, we …
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