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: |
| LEADER | 01915nam a22002297a 4500 | ||
|---|---|---|---|
| 001 | 2109977 | ||
| 041 | |a eng | ||
| 044 | |b ليبيا | ||
| 100 | |a Amir, Munayr Mohammed |e Author |9 693268 | ||
| 245 | |a Performance Evaluation of Blacklist and Heuristic Methods in Phishing Emails Detection | ||
| 260 | |b جامعة المرقب - كلية التربية بالخمس |c 2023 |g يناير | ||
| 300 | |a 527 - 537 | ||
| 336 | |a بحوث ومقالات |b Article | ||
| 520 | |b 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. | ||
| 653 | |a القائمة السوداء |a البريد الإلكتروني |a الجرائم الإلكترونية | ||
| 692 | |b Index Terms |b Phishing Email |b Blacklist |b Heuristics |b URL-Based Features | ||
| 700 | |9 718853 |a Al-Daeef, Melad |e Co-Author | ||
| 773 | |4 التربية والتعليم |6 Education & Educational Research |c 045 |l 022 |m ع22 |o 1568 |s مجلة التربوي |t Educational Journal |v 000 |x 2011-421X | ||
| 856 | |u 1568-000-022-045.pdf | ||
| 930 | |d y |p y |q n | ||
| 995 | |a EduSearch | ||
| 999 | |c 1355651 |d 1355651 | ||
عناصر مشابهة
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Machine and Deep Learning Approaches for Detecting Phishing Emails
بواسطة: العمرات، رولا سليمان إبراهيم منشور: (2023) -
Detecting Phishing Emails Using Machine Learning Techniques
بواسطة: السعايده، سعيد عبدالله منشور: (2017) -
Detection of Spam Email Using Multiple Classifiers and Features
بواسطة: النسور، رعد هاشم محمد منشور: (2013) -
Fighting Internet Fraud : Anti-Phishing Effectiveness for Phishing Websites Detection
بواسطة: Al Najim, Abd Allah M. منشور: (2009) -
Enhancing the Performance of Detecting Phishing
بواسطة: الرياطي، شرين خليل موسى منشور: (2016)
