چکیده مقاله
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
کلیدواژهها
نویسندگان
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
شیوه ارجاع
Mirhoseini, Seyyed Rohollah and Vahedi, Fatemeh and Nasiri, Jalal A,1399,E-Mail phishing detection using natural language processing and machine learning techniques,7th National Congress of New Findings of Iranian Electrical Engineering,Tehran
ارائهشده در
مجموعه مقالات هفتمین کنگره ملی تازه یافته های مهندسی برق ایران20 خرداد 1399 · تهران