My idea in my research is to develop a browser extension that examines the entire content of emails to detect potential phishing emails and alert users in real-time about suspicious or malicious emails, then evaluate the efficacy of the extension using machine learning model metrics such as True Positive, True Negative, Accuracy, and Rate Score to assess its effectiveness in optimizing phishing detection features and ensuring user-friendliness.
So I would like to ask for your assistance in preparing the ‘backgrounds’ section for the research paper “IEEE” as the attachment file.
“backgrounds” can be used to refer to the fundamental and historical information that the reader needs to understand before delving into the reading or study of previous research (related work). This information may include basic concepts, an overview of the field, the history of research in the field, and any significant developments that have occurred.
I need from you to add this things in the background:
+details about machine learning techniques, including deep learning and other types.
Explain also the process like select the model then dataset and trainings and testing methodology that people use in machine learning +details about email and what the vulnerabilities of emails and how analysis the header such as header has important information and what the vulnerability.
Also use academic word,and but reverence about research papers that use it.
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