Performance Evaluation of Blacklist and Heuristic Methods in Phishing Emails Detection
| المصدر: | مجلة التربوي |
|---|---|
| الناشر: | جامعة المرقب - كلية التربية بالخمس |
| المؤلف الرئيسي: | Amir, Munayr Mohammed (Author) |
| مؤلفين آخرين: | Al-Daeef, Melad (Co-Author) |
| المجلد/العدد: | ع22 |
| محكمة: | نعم |
| الدولة: |
ليبيا |
| التاريخ الميلادي: |
2023
|
| الشهر: | يناير |
| الصفحات: | 527 - 537 |
| ISSN: |
2011-421X |
| رقم MD: | 1355651 |
| نوع المحتوى: | بحوث ومقالات |
| اللغة: | الإنجليزية |
| قواعد المعلومات: | EduSearch |
| مواضيع: | |
| كلمات المؤلف المفتاحية: |
Index Terms | Phishing Email | Blacklist | Heuristics | URL-Based Features
|
| رابط المحتوى: |
| المستخلص: |
Phishing is a cybercrime in which, attackers try to fraudulently retrieve users’ credentials by mimicking trusted communication channels. Phishing attacks are usually start with email means. Many methods are implemented to detect phishing emails. Blacklists and heuristics anti-phishing methods are commonly used to mitigate the impact of phishing crime. Previous studies revealed that each of these methods still has its drawbacks when implemented alone to detect phishing emails. In order to enhance the performance of these two methods, it is widely suggested by the researchers to combine these two methods to work as one anti-phishing system. Thus, if one method fails to detect the attack, the other method can catch it. In this study, blacklist and heuristics methods have produced an acceptable accuracy rate in phishing detection when they have cooperatively implemented, they have achieved up to 93% of TP accuracy rate. |
|---|---|
| ISSN: |
2011-421X |
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