Building a Cloud-Based Machine Learning System for Automated Phishing Detection and Email Security in Cloud-Based Email Platforms.
Year: 2024
Type: article
Abstract: This survey report examines the development of a cloud-powered machine learning system for automated phishing detection and email security in cloud-based email platforms. It examines current research, development processes, and technological advancements to create practical, scalable solutions to combat the increasing risk of phishing attacks and data breaches. Emails are a popular form of communication for both business and personal needs. Sensitive and confidential information, like financial data, credit reports, login credentials, and the like, is also sent via mail. Because of this, cybercriminals might utilize them to their advantage and utilize this information for illicit activities. Phishing is a tactic employed by con artists to obtain personal information from people by seeming to come from reliable sources. The sender of a phished email may pose as a trustworthy source to trick recipients into divulging personal information. Phishing emails have also been widely employed in consumer fraud and financial institutions. This paper presents an overview of the various methods that are currently being employed in email filtering for phishing email detection and protection. A comparison and evaluation of various methods
Author: Karakadzai Sithole -
Language: English
Topic: Spam and Phishing Detection
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4413435672