Email Authentication Analysis
Email Authentication Analysis is a methodological framework within phishing intelligence that systematically evaluates cryptographic and protocol-based indicators—such as SPF, DKIM, and DMARC compliance—to verify sender identity and detect spoofing attempts in email communications.
6
Publications
171
Citations
19
Authors
13
Institutions
Publications per year
2017–2026
4
Parents
6
Classifying Phishing Email Using Machine Learning and Deep Learning
Sikha Bagui, Debarghya Nandi, Subhash Bagui et al. · 2019 · 51 citations
Predicting likelihood of legitimate data loss in email DLP
Mohamed Falah Faiz, Junaid Arshad, Mamoun Alazab et al. · Future Generation Computer Systems · 2019 · 18 citations · Full text
1–5 of 6
19
University at Buffalo, State University of New York, United States
1 publications · 43 citations
1
h-index
1
h-index
1
h-index
1
h-index
University at Buffalo, State University of New York, United States
1 publications · 26 citations
1
h-index
1–5 of 19
13
University at Buffalo, State University of New York
Buffalo, United States
2 h-index
3 publications
95 citations

Beijing University of Posts and Telecommunications
Beijing, China
1 h-index
1 publications
16 citations

University of West London
London, United Kingdom
1 h-index
2 publications
36 citations
University of Illinois Chicago
Chicago, United States
1 h-index
1 publications
51 citations

Johns Hopkins University Applied Physics Laboratory
North Laurel, United States
1 h-index
1 publications
26 citations
Ball State University
Muncie, United States
1 h-index
1 publications
43 citations

Charles Darwin University
Darwin, Australia
1 h-index
1 publications
18 citations

University of West Florida
Pensacola, United States
1 h-index
2 publications
102 citations
1–8 of 13
1 publications · 43 citations
1
h-index
1 publications · 26 citations
1
h-index
FGCS · 1 publications · 18 citations
1
h-index
Conference · 1 publications · 16 citations
1
h-index
1 publications · 17 citations
1
h-index
1–5