E-Mail phishing detection using natural language processing and machine learning techniques

Publish Year: 1399
نوع سند: مقاله کنفرانسی
زبان: English
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COMCONF07_055

تاریخ نمایه سازی: 22 مرداد 1399

Abstract:

Today there are more than 4.39 billion internet users that almost 70 percent of them use social media on mobile devices. Network security is one of the most important aspects to consider while working over the internet. E-mail is one of the most secure medium for online communication and transferring data or messages through the web. This paper illustrates an email spam detection method using natural language processing and machine learning techniques (MLT). Then we present the classification and evaluation results.

Keywords:

Network security , Machine Learning (ML) , Natural Language Processing (NLP) and Deep Learning.

Authors

Seyyed Rohollah Mirhoseini

Computer Department Islamic Azad University North Tehran branch Tehran, Iran.

Fatemeh Vahedi

Computer Department Islamic Azad University North Tehran branch Tehran, Iran.

Jalal A Nasiri

Iranian Research Institute for Information Science and Technology