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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شناسه ملی سند علمی:
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.
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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