Detection of Phishing in Mobile Instant Messaging Using Natural Language Processing and Machine Learning
Author:
Affiliation:
1. School of Computing, National College of Ireland,Dublin,Ireland
2. School of Business Technology, Retail, and Supply Chain Technological University Dublin,Dublin,Ireland
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10568173/10568254/10568263.pdf?arnumber=10568263
Reference22 articles.
1. Phishing activity trends report, 2nd quarter 2022,2023
2. Understanding Phishing in Mobile Instant Messaging: A Study into User Behaviour Toward Shared Links
3. Social Engineering Attacks: A Survey
4. APuML: An Efficient Approach to Detect Mobile Phishing Webpages using Machine Learning
5. Natural-Language Processing for Intrusion Detection
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