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C. Beaman

1 paper hereh-index 3277 citations6 works total

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  • first author1

Across the 1 of 1 paper where every author was matched, so the position is known.

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  • cs.CR1

identity via Semantic Scholar / OpenAlex

most citedAnomaly Detection in Emails using Machine Learning and Header Information

4 citations · 4 across the 1 of their papers we have counts for

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Showing cs.CRShow all

1 paper · 1 filter

cs.CR2022★ 4 cited

Anomaly Detection in Emails using Machine Learning and Header Information

Craig Beaman, Haruna Isah

Anomalies in emails such as phishing and spam present major security risks such as the loss of privacy, money, and brand reputation to both individuals and organizations. Previous…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.