Classifying Phishing Email Using Machine Learning and Deep Learning
Title | Classifying Phishing Email Using Machine Learning and Deep Learning |
Publication Type | Conference Paper |
Year of Publication | 2019 |
Authors | Bagui, Sikha, Nandi, Debarghya, Bagui, Subhash, White, Robert Jamie |
Conference Name | 2019 International Conference on Cyber Security and Protection of Digital Services (Cyber Security) |
Date Published | jun |
Publisher | IEEE |
ISBN Number | 978-1-7281-0229-0 |
Keywords | Computer crime, Deep Learning, deep semantic analysis, Electronic mail, email text, encoding, Human Behavior, human factors, learning (artificial intelligence), machine learning, one-hot encoding, pattern classification, phishing, phishing email, phishing emails, pubcrawl, Semantics, Support vector machines, text analysis, unsolicited e-mail, Web sites |
Abstract | In this work, we applied deep semantic analysis, and machine learning and deep learning techniques, to capture inherent characteristics of email text, and classify emails as phishing or non -phishing. |
URL | https://ieeexplore.ieee.org/document/8885143 |
DOI | 10.1109/CyberSecPODS.2019.8885143 |
Citation Key | bagui_classifying_2019 |
- one-hot encoding
- Web sites
- unsolicited e-mail
- text analysis
- Support vector machines
- Semantics
- pubcrawl
- phishing emails
- phishing email
- Phishing
- pattern classification
- Computer crime
- machine learning
- learning (artificial intelligence)
- Human Factors
- Human behavior
- encoding
- email text
- Electronic mail
- deep semantic analysis
- deep learning